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<!DOCTYPE html>
<html lang="en-US">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=0">
<link rel="stylesheet" type="text/css" href="style/main.css">
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;600;800&display=swap" rel="stylesheet">
<link rel="icon" type="image/x-icon" href="img/favicon.ico">
<title>GroveDB - Cryptographically Secure Database with Advanced Functionalities</title>
<meta name="description" content="GroveDB is an innovative trustless database solution that supports cryptographic proofs for complex queries. It offers advanced functionalities, including the ability to create indexes, verify data integrity with Merkle proofs, estimate operation costs, and achieve ACID compliance. Learn more about GroveDB's features, benefits, and integration possibilities."/>
<meta name="keywords" content="GroveDB, database, cryptographic proofs, secure database, advanced functionality, indexes, data integrity, Merkle proofs, secondary indexes, ACID compliance, integration, blockchain database, trustless, decedntralized">
<!--Social Share Info-->
<!--Facebook-->
<meta property="og:title" content="GroveDB - Cryptographically Secure Database with Advanced Functionalities">
<meta property="og:site_name" content="GroveDB">
<meta property="og:url" content="https://www.grovedb.org/">
<meta property="og:description" content="GroveDB is an innovative trustless database solution that supports cryptographic proofs for complex queries. It offers advanced functionalities, including the ability to create indexes, verify data integrity with Merkle proofs, estimate operation costs, and achieve ACID compliance. Learn more about GroveDB's features, benefits, and integration possibilities.">
<meta property="og:image" content="https://www.grovedb.org/img/social-share.png">
<!--Twitter-->
<meta name="twitter:card" content="summary"/>
<meta name="twitter:title" content="GroveDB - Cryptographically Secure Database with Advanced Functionalities"/>
<meta name="twitter:description" content="GroveDB is an innovative trustless database solution that supports cryptographic proofs for complex queries. It offers advanced functionalities, including the ability to create indexes, verify data integrity with Merkle proofs, estimate operation costs, and achieve ACID compliance. Learn more about GroveDB's features, benefits, and integration possibilities."/>
<meta name="twitter:image" content="https://www.grovedb.org/img/social-share.png"/>
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<script async src="https://www.googletagmanager.com/gtag/js?id=G-MN2FH9KJ79"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-MN2FH9KJ79');
</script>
</head>
<body>
<header>
<nav class="nav toggle">
<div class="header-menu">
<div class="logo-header logo-mobile">
<a href="https://www.grovedb.org/"><img src="img/grovedb-logo.svg"></a>
</div>
<div class="nav-mobile"><a id="navbar-toggle"><span></span></a></div>
<ul class="nav-list">
<li><a href="/documentation.html">Documentation</a></li>
<li><a href="/comparison-table.html">Comparison Table</a></li>
<li><a href="https://www.dash.org/blog" target="_blank">Blog</a></li>
<div class="header-social mobile">
<a href="https://www.twitter.com/dashpay">
<div class="icon-el twitter"></div>
</a>
<a href="https://www.github.com/dashpay/grovedb">
<div class="icon-el github"></div>
</a>
</div>
</ul>
<div class="header-social desktop">
<a href="https://www.twitter.com/dashpay">
<div class="icon-el twitter"></div>
</a>
<a href="https://www.github.com/dashpay/grovedb">
<div class="icon-el github"></div>
</a>
</div>
</div>
</nav>
</header>
<div class="main-banner">
<div class="banner-background">
<div class="text-banner">
<h1>The first database to support cryptographic proofs for complex queries</h1>
<p class="inline-text">Built by the developers of<a href="https://www.dash.org/platform/"><img style="vertical-align: -1px;" src="https://media.dash.org/wp-content/uploads/dash_logo_2018_rgb_for_screens.svg" class="filter-white" width="50" height="16" /></a></p>
</div>
<div id="features" class="section section-one tag">
<h4>Features</h4>
<div class="block-icons">
<div class="feature-block">
<div class="icon-imgs">
<img src="img/icon-4.svg">
<div class="icon-text">
<h6>Query proofs</h6>
<p>The first database to support proofs for queries more complex than single-key retrievals</p>
</div>
</div>
<div class="icon-imgs">
<img src="img/icon-7.svg">
<div class="icon-text">
<h6>Secondary indexes</h6>
<p>Create indexes, including unique and compound indexes, on any field</p>
</div>
</div>
<div class="icon-imgs">
<img src="img/icon-6.svg">
<div class="icon-text">
<h6>Mutable and immutable data storage</h6>
<p>Built-in functionality to support both within the same database</p>
</div>
</div>
<div class="icon-imgs">
<img src="img/icon-5.svg">
<div class="icon-text">
<h6>Inclusion and absence proofs</h6>
<p>Verify the presence or absence of items using Merkle proofs</p>
</div>
</div>
<div class="icon-imgs">
<img src="img/icon-8.svg">
<div class="icon-text">
<h6>Operation costs</h6>
<p>Get the costs of operations and estimate them beforehand</p>
</div>
</div>
<div class="icon-imgs">
<img src="img/icon-17.svg">
<div class="icon-text">
<h6>ACID compliancy</h6>
<p>Benefit from ACID properties</p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="black-section">
<div id="table" class="section section-five">
<div class="table-block tag">
<h4>Comparison Table</h4>
<table>
<thead>
<tr>
<th></th>
<th class="blue-back first">GroveDB</th>
<th>ImmuDB</th>
<th>ProvenDB</th>
<th>Trillian</th>
<th>BigchainDB</th>
</tr>
</thead>
<tbody>
<tr>
<td class="table-header">Complex Queries</td>
<td class="plus blue-back" data-label="GroveDB"><img src="img/icon-9.svg"></td>
<td class="plus" data-label="ImmuDB"><img src="img/icon-9.2.svg"></td>
<td class="plus" data-label="ProvenDB"><img src="img/icon-9.2.svg"></td>
<td class="plus" data-label="Trillian"><img src="img/icon-9.2.svg"></td>
<td class="plus" data-label="BigchainDB"><img src="img/icon-9.2.svg"></td>
</tr>
<tr>
<td class="table-header">Query Proofs</td>
<td class="plus blue-back" data-label="GroveDB"><img src="img/icon-9.svg"></td>
<td class="minus" data-label="ImmuDB">-</td>
<td class="minus" data-label="ProvenDB">-</td>
<td class="minus" data-label="Trillian">-</td>
<td class="minus" data-label="BigchainDB">-</td>
</tr>
<tr>
<td class="table-header">Inclusion Proofs</td>
<td class="plus blue-back" data-label="GroveDB"><img src="img/icon-9.svg"></td>
<td class="plus" data-label="ImmuDB"><img src="img/icon-9.2.svg"></td>
<td class="plus" data-label="ProvenDB"><img src="img/icon-9.2.svg"></td>
<td class="plus" data-label="Trillian"><img src="img/icon-9.2.svg"></td>
<td class="minus" data-label="BigchainDB">-</td>
</tr>
<tr>
<td class="table-header">Non-Inclusion Proofs</td>
<td class="plus blue-back" data-label="GroveDB"><img src="img/icon-9.svg"></td>
<td class="minus" data-label="ImmuDB">-</td>
<td class="minus" data-label="ProvenDB">-</td>
<td class="minus" data-label="Trillian">-</td>
<td class="minus" data-label="BigchainDB">-</td>
</tr>
<tr>
<td class="table-header">Data Immutability</td>
<td class="plus blue-back" data-label="GroveDB"><img src="img/icon-9.svg"></td>
<td class="plus" data-label="ImmuDB"><img src="img/icon-9.2.svg"></td>
<td class="plus" data-label="ProvenDB"><img src="img/icon-9.2.svg"></td>
<td class="plus" data-label="Trillian"><img src="img/icon-9.2.svg"></td>
<td class="plus" data-label="BigchainDB"><img src="img/icon-9.2.svg"></td>
</tr>
<tr>
<td class="table-header">Data Mutability</td>
<td class="plus blue-back" data-label="GroveDB"><img src="img/icon-9.svg"></td>
<td class="minus" data-label="ImmuDB">-</td>
<td class="minus" data-label="ProvenDB">-</td>
<td class="minus" data-label="Trillian">-</td>
<td class="minus" data-label="BigchainDB">-</td>
</tr>
<tr>
<td class="table-header">Operation Costs</td>
<td class="plus blue-back" data-label="GroveDB"><img src="img/icon-9.svg"></td>
<td class="minus" data-label="ImmuDB">-</td>
<td class="minus" data-label="ProvenDB">-</td>
<td class="minus" data-label="Trillian">-</td>
<td class="minus" data-label="BigchainDB">-</td>
</tr>
<tr>
<td class="table-header">Language</td>
<td class="text blue-back last" data-label="GroveDB">Rust</td>
<td class="text" data-label="ImmuDB">Go</td>
<td class="text" data-label="ProvenDB">JavaScript</td>
<td class="text" data-label="Trillian">Go</td>
<td class="text" data-label="BigchainDB">Python</td>
</tr>
</tbody>
</table>
<p class="table-footnote"><a href="/comparison-table.html" class="white-link">See more</a></p>
</div>
</div>
<div class="section section-two">
<div class="tag">
<div class="title-background">
<h2>Design</h2>
<p>GroveDB is a "grove" of Merkle trees, where the root hashes of lower-level trees are stored in nodes of higher-level trees, and the root hash of the root tree can be used to prove the state of the entire database.</p>
</div>
<div class="tree-structure">
<img class="tree-structure-img" src="img/image-contract-tree.png">
</div>
</div>
<div class="info-blocks tag">
<div class="index-block">
<img class="index-img" src="img/img-1.svg">
<h4>What are secondary indexes?</h4>
<a href="#first"><img src="img/plus-icon.svg"></a>
</div>
<div class="index-block">
<img class="index-img" src="img/img-2.svg">
<h4>What are cryptographic proofs?</h4>
<a href="#second"><img src="img/plus-icon.svg"></a>
</div>
</div>
</div>
<div class="section section-three">
<div class="block-hads tag">
<div class="text-list">
<div class="block-text">
<h2>HADS</h2>
<p>GroveDB is the first production-level implementation of a HADS, largely inspired by <a href="https://eprint.iacr.org/2015/351.pdf" target="_blank">Database Outsourcing with Hierarchical Authenticated Data Structures</a>.</p>
<p>HADS stands for "hierarchical authenticated data structure". Simply speaking, it's an ADS (authenticated data structure), such as a Merkle tree, which contains additional ADSs.</p>
<p>The HADS architecture is what enables GroveDB to be the first database to support proofs for complex queries. Trees can be created for secondary indexes, where each secondary index tree (such as for "city" in a data set of restaurants) has additional subtrees for each unique value (such as "New York City" and "Phoenix"), and the items in that subtree (all the restaurants in New York City or Phoenix) can refer to the records in the primary index tree, where the full data of each item (restaurant) is stored.</p>
</div>
<div class="list-block">
<br>
<div class="notes">
<p><strong>Note</strong> that the secondary index trees only contain references to items, rather than the items themselves, for storage space efficiency.</p>
</div>
<h5>Benefits of a HADS:</h5>
<div class="list">
<img src="img/icon-9.svg"><p>Efficient proofs for complex queries</p>
</div>
<div class="list">
<img src="img/icon-9.svg"><p>Efficient handling of duplicate values</p>
</div>
<div class="list">
<img src="img/icon-9.svg"><p>Different ADS types can be used within the same HADS</p>
</div>
<div class="list">
<img src="img/icon-9.svg"><p>Supports compound indexes</p>
</div>
</div>
</div>
<div class="benefit-block">
<div class="svg-animation-block">
<svg class="animation-start" viewBox="0 0 495 500" fill="none" xmlns="http://www.w3.org/2000/svg">
<g clip-path="url(#clip0_1097_1439)">
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<div class="section section-four tag">
<h2>Merk</h2>
<p class="text-section">All trees in GroveDB are Merk trees by default. <br><br> Merk is a Merkle AVL tree designed for performance. Notable features include concurrent operations for higher throughput, an optimized key/value layout for performant usage of the backing store, and efficient proof generation to enable bulk tree replication.</p>
<a class="button" href="https://github.com/nomic-io/merk">Read Documentation<img src="img/button-icons.svg"></a>
<h5>Features of a Merk tree</h5>
<div class="flex-blocks tag">
<div class="checkmark-block">
<img src="img/icon-10.svg">
<div class="icon-text">
<h6>Fast reads/writes</h6>
<p>Reads have no overhead compared to a normal RocksDB store, and writes are optimized for batch operations (e.g. blocks in a blockchain).</p>
</div>
</div>
<div class="checkmark-block">
<img src="img/icon-11.svg">
<div class="icon-text">
<h6>Fast proof generation</h6>
<p>Since Merk implements an AVL tree rather than a trie, it is very efficient to create and verify proofs for ranges of keys.</p>
</div>
</div>
<div class="checkmark-block">
<img src="img/icon-12.svg">
<div class="icon-text">
<h6>Concurrency</h6>
<p>Unlike most other Merkle stores, all operations utilize all available cores, giving huge performance gains and allowing nodes to scale along with Moore's Law.</p>
</div>
</div>
<div class="checkmark-block">
<img src="img/icon-13.svg">
<div class="icon-text">
<h6>Replication</h6>
<p>The tree is optimized to efficiently build proofs of large chunks, allowing for nodes to download the entire state (e.g. "state syncing").</p>
</div>
</div>
<div class="checkmark-block">
<img src="img/icon-14.svg">
<div class="icon-text">
<h6>Checkpointing</h6>
<p>Merk creates checkpoints on disk (an immutable view of the entire store at a certain point in time) without delays in availability or liveness.</p>
</div>
</div>
<div class="checkmark-block">
<img src="img/icon-15.svg">
<div class="icon-text">
<h6>Web-friendly</h6>
<p>Being written in Rust means it is easy to run the proof-verification code in browsers with WebAssembly, allowing for light-clients that can verify data for themselves.</p>
</div>
</div>
<div class="checkmark-block">
<img src="img/icon-16.svg">
<div class="icon-text">
<h6>Fits any Profile</h6>
<p>Performant on RAM-constrained Raspberry Pi's and beefy validator rigs alike.</p>
</div>
</div>
</div>
</div>
<div class="section section-six tag">
<h2>Start using GroveDB today</h2>
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<p class="copy">© 2023 GroveDB</p>
<p>Designed and constructed by the engineers at <a href="https://www.dash.org/dcg">Dash Core Group</a></p>
<p>GroveDB is the first database to support cryptographic proofs for complex queries</p>
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<h2>What are secondary indexes?</h2>
<p>Secondary indexes enable queries more complex and intuitive than are possible with primary indexes. Primary index queries look like: "give me keys A201 through A209". Meanwhile, secondary index queries look like: "give me the names of all the restaurants in New York City".</p>
<p>Say there's a database of restaurants. If it has a secondary index for "city", in order to execute "give me the names of all the restaurants in New York City", the database simply has to navigate to the city index and iterate over the records for New York City, returning the restaurant names. A database without secondary indexes would need to iterate over <i>every single record in the database</i> to first check if that restaurant is in New York City, then return the name.</p>
<p>Until now, getting a cryptographic proof with a query on a secondary index wasn’t possible.</p>
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<h2>What are cryptographic proofs?</h2>
<p>Cryptographic proofs are the lifeblood of trustless databases. If you’re given a cryptographic proof of the results of your query, you can verify with certainty that those results are what’s really stored in the database.</p>
<p>This is a very important feature when dealing with, for example, financial applications distributed across a large number of anonymously-hosted servers. Without cryptographic proofs, the hosts could easily manipulate the data and clients would have no way of verifying whether the returned data is authentic.</p>
<p>Until now, getting a cryptographic proof with a query more complex than a single-key retrieval wasn’t possible with any existing solution.</p>
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