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DBMS > Apache Cassandra vs. GigaSpaces vs. TimescaleDB

System Properties Comparison Apache Cassandra vs. GigaSpaces vs. TimescaleDB

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonGigaSpaces  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelWide column storeDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMS
Secondary database modelsVector DBMS infostarting with release V5Graph DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score106.65
Rank#11  Overall
#1  Wide column stores
Score1.14
Rank#171  Overall
#28  Document stores
#6  Object oriented DBMS
Score3.48
Rank#73  Overall
#5  Time Series DBMS
Websitecassandra.apache.orgwww.gigaspaces.comwww.timescale.com
Technical documentationcassandra.apache.org/­doc/­latestdocs.gigaspaces.com/­latest/­landing.htmldocs.timescale.com
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookGigaspaces TechnologiesTimescale
Initial release200820002017
Current release5.0-rc1, July 202415.5, September 20202.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC
Server operating systemsBSD
Linux
OS X
Windows
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nono infoXML can be used for describing objects metadatayes
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-99 for query and DML statementsyes infofull PostgreSQL SQL syntax
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
C++
Java
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users can be defined per objectRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache CassandraGigaSpacesTimescaleDB
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More resources
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