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DBMS > CockroachDB vs. Drizzle vs. EDB Postgres vs. FoundationDB

System Properties Comparison CockroachDB vs. Drizzle vs. EDB Postgres vs. FoundationDB

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonDrizzle  Xexclude from comparisonEDB Postgres  Xexclude from comparisonFoundationDB  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DB-Engines ranking.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the 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.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Ordered key-value store. Core features are complimented by layers.
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Websitewww.cockroachlabs.comwww.enterprisedb.comgithub.com/­apple/­foundationdb
Technical documentationwww.cockroachlabs.com/­docswww.enterprisedb.com/­docsapple.github.io/­foundationdb
DeveloperCockroach LabsDrizzle project, originally started by Brian AkerEnterpriseDBFoundationDB
Initial release2015200820052013
Current release23.1.1, May 20237.2.4, September 201214, December 20216.2.28, November 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoGNU GPLcommercial infoBSD for PostgreSQL-componentsOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++CC++
Server operating systemsLinux
macOS
Windows
FreeBSD
Linux
OS X
Linux
Windows
Linux
OS X
Windows
Data schemedynamic schemayesyesschema-free infosome layers support schemas
Typing infopredefined data types such as float or dateyesyesyesno infosome layers support typing
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.noyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes, wire compatible with PostgreSQLyes infowith proprietary extensionsyes infostandard with numerous extensionssupported in specific SQL layer only
APIs and other access methodsJDBCJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C++
Java
PHP
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.in SQL-layer only
Triggersnono infohooks for callbacks inside the server can be used.yesno
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 RAFTShardinghorizontal partitioning infoby hash, list or rangeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTMulti-source replication
Source-replica replication
Multi-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyLinearizable consistency
Foreign keys infoReferential integrityyesyesyesin SQL-layer only
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRole-based access controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardno

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More resources
CockroachDBDrizzleEDB PostgresFoundationDB
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