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DBMS > Citus vs. Firebolt vs. GeoSpock vs. Sqrrl vs. Tibero

System Properties Comparison Citus vs. Firebolt vs. GeoSpock vs. Sqrrl vs. Tibero

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonFirebolt  Xexclude from comparisonGeoSpock  Xexclude from comparisonSqrrl  Xexclude from comparisonTibero  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseSpatial and temporal data processing engine for extreme data scaleAdaptable, secure NoSQL built on Apache AccumuloA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitewww.citusdata.comwww.firebolt.iogeospock.comsqrrl.comus.tmaxsoft.com/­products/­tibero
Technical documentationdocs.citusdata.comdocs.firebolt.iotechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperFirebolt Analytics Inc.GeoSpockAmazon infooriginally Sqrrl Data, Inc.TmaxSoft
Initial release2010202020122003
Current release8.1, December 20182.0, September 20196, April 2015
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, JavascriptJavaC and Assembler
Server operating systemsLinuxhostedhostedLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesschema-freeyes
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
Secondary indexesyesyestemporal, categoricalyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsyesANSI SQL for query only (using Presto)noyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
ODBC
RESTful HTTP API
JDBCAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nononoPersistent Stored Procedure (PSM)
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding infomaking use of Hadoophorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsdepending on storage layerselectable replication factor infomaking use of HadoopMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tableCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
CitusFireboltGeoSpockSqrrlTibero
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