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DBMS > CockroachDB vs. Drizzle vs. H2 vs. KeyDB vs. LevelDB

System Properties Comparison CockroachDB vs. Drizzle vs. H2 vs. KeyDB vs. LevelDB

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonDrizzle  Xexclude from comparisonH2  Xexclude from comparisonKeyDB  Xexclude from comparisonLevelDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value storeKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Websitewww.cockroachlabs.comwww.h2database.comgithub.com/­Snapchat/­KeyDB
keydb.dev
github.com/­google/­leveldb
Technical documentationwww.cockroachlabs.com/­docswww.h2database.com/­html/­main.htmldocs.keydb.devgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperCockroach LabsDrizzle project, originally started by Brian AkerThomas MuellerEQ Alpha Technology Ltd.Google
Initial release20152008200520192011
Current release24.1.0, May 20247.2.4, September 20122.2.220, July 20231.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoGNU GPLOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSD-3Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++JavaC++C++
Server operating systemsLinux
macOS
Windows
FreeBSD
Linux
OS X
All OS with a Java VMLinuxIllumos
Linux
OS X
Windows
Data schemedynamic schemayesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyesyesyes infoby using the Redis Search moduleno
SQL infoSupport of SQLyes, wire compatible with PostgreSQLyes infowith proprietary extensionsyesnono
APIs and other access methodsJDBCJDBCJDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C++
Java
PHP
JavaC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnonoJava Stored Procedures and User-Defined FunctionsLuano
Triggersnono infohooks for callbacks inside the server can be used.yesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRole-based access controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardsimple password-based access control and ACLno

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More resources
CockroachDBDrizzleH2KeyDBLevelDB
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