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DBMS > CockroachDB vs. Datomic vs. EDB Postgres vs. EsgynDB vs. SAP SQL Anywhere

System Properties Comparison CockroachDB vs. Datomic vs. EDB Postgres vs. EsgynDB vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonDatomic  Xexclude from comparisonEDB Postgres  Xexclude from comparisonEsgynDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityThe 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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.cockroachlabs.comwww.datomic.comwww.enterprisedb.comwww.esgyn.cnwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationwww.cockroachlabs.com/­docsdocs.datomic.comwww.enterprisedb.com/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCockroach LabsCognitectEnterpriseDBEsgynSAP infoformerly Sybase
Initial release20152012200520151992
Current release23.1.1, May 20231.0.6735, June 202314, December 202117, July 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercial infolimited edition freecommercial infoBSD for PostgreSQL-componentscommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, ClojureCC++, Java
Server operating systemsLinux
macOS
Windows
All OS with a Java VMLinux
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemedynamic schemayesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyes infostandard with numerous extensionsyesyes
APIs and other access methodsJDBCRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Clojure
Java
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored Proceduresyes, in C/C++, Java, .Net or Perl
TriggersnoBy using transaction functionsyesnoyes
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 RAFTnone infoBut extensive use of caching in the application peershorizontal partitioning infoby hash, list or rangeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnone infoBut extensive use of caching in the application peersMulti-source replicationMulti-source replication between multi datacentersSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentnonoyes
User concepts infoAccess controlRole-based access controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
CockroachDBDatomicEDB PostgresEsgynDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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