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DBMS > CockroachDB vs. Datomic vs. Faircom EDGE vs. Graphite vs. SAP SQL Anywhere

System Properties Comparison CockroachDB vs. Datomic vs. Faircom EDGE vs. Graphite vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonDatomic  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGraphite  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 durabilityFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Time Series DBMSRelational 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
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.cockroachlabs.comwww.datomic.comwww.faircom.com/­products/­faircom-edgegithub.com/­graphite-project/­graphite-webwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationwww.cockroachlabs.com/­docsdocs.datomic.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgraphite.readthedocs.iohelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCockroach LabsCognitectFairCom CorporationChris DavisSAP infoformerly Sybase
Initial release20152012197920061992
Current release23.1.1, May 20231.0.6735, June 2023V3, October 202017, July 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercial infolimited edition freecommercial infoRestricted, free version availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ClojureANSI C, C++Python
Server operating systemsLinux
macOS
Windows
All OS with a Java VMAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
Unix
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemedynamic schemayesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL TypesNumeric data onlyyes
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.nonoyesnoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyes infoANSI SQL queriesnoyes
APIs and other access methodsJDBCRESTful HTTP APIADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP API
Sockets
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Clojure
Java
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyes info.Net, JavaScript, C/C++noyes, 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 peersFile partitioning infoCustomizable business rules for partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnone infoBut extensive use of caching in the application peersyes infoSynchronous and asynchronous realtime replication based on transaction logsnoneSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
noneImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infowhen using SQLnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes infolockingyes
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 developmentyesyes
User concepts infoAccess controlRole-based access controlnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.nofine grained access rights according to SQL-standard

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More resources
CockroachDBDatomicFaircom EDGE infoformerly c-treeEDGEGraphiteSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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