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DBMS > Citus vs. CockroachDB vs. FileMaker vs. GigaSpaces vs. Heroic

System Properties Comparison Citus vs. CockroachDB vs. FileMaker vs. GigaSpaces vs. Heroic

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonCockroachDB  Xexclude from comparisonFileMaker  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLCockroachDB 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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMS
Secondary database modelsDocument storeGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websitewww.citusdata.comwww.cockroachlabs.comwww.claris.com/­filemakerwww.gigaspaces.comgithub.com/­spotify/­heroic
Technical documentationdocs.citusdata.comwww.cockroachlabs.com/­docswww.claris.com/­resources/­documentationdocs.gigaspaces.com/­latest/­landing.htmlspotify.github.io/­heroic
DeveloperCockroach LabsClaris infoa subsidiary of AppleGigaspaces TechnologiesSpotify
Initial release20102015198320002014
Current release8.1, December 201824.1.0, May 202419.4.1, November 202115.5, September 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0
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 languageCGoJava, C++, .NetJava
Server operating systemsLinuxLinux
macOS
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
macOS
Solaris
Windows
Data schemeyesdynamic schemayesschema-freeschema-free
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.yes infospecific XML type available, but no XML query functionalitynoyes infoA http query request can return the data in XML formatno infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesyesyes infovia Elasticsearch
SQL infoSupport of SQLyes infostandard, with numerous extensionsyes, wire compatible with PostgreSQLyes infovia pluginsSQL-99 for query and DML statementsno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCFilemaker WebDirect
JDBC
ODBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
PHP.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyesyesno
Triggersyesnoyesyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal 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 RAFTnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication using RAFTSource-replica replication, warm standby infosince Version 14Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlsimple rights management via user accounts and connection to external directory servicesRole-based access control

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More resources
CitusCockroachDBFileMakerGigaSpacesHeroic
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