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DBMS > BigObject vs. Citus vs. EventStoreDB vs. FileMaker vs. Sqrrl

System Properties Comparison BigObject vs. Citus vs. EventStoreDB vs. FileMaker vs. Sqrrl

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCitus  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFileMaker  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLIndustrial-strength, open-source database solution built from the ground up for event sourcing.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSEvent StoreRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score1.07
Rank#181  Overall
#1  Event Stores
Score45.20
Rank#20  Overall
#14  Relational DBMS
Websitebigobject.iowww.citusdata.comwww.eventstore.comwww.claris.com/­filemakersqrrl.com
Technical documentationdocs.bigobject.iodocs.citusdata.comdevelopers.eventstore.comwww.claris.com/­resources/­documentation
DeveloperBigObject, Inc.Event Store LimitedClaris infoa subsidiary of AppleAmazon infooriginally Sqrrl Data, Inc.
Initial release20152010201219832012
Current release8.1, December 201821.2, February 202119.4.1, November 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoAGPL, commercial license also availableOpen Sourcecommercialcommercial
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 languageCJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxLinux
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infospecific XML type available, but no XML query functionalityyes infoA http query request can return the data in XML format
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infostandard, with numerous extensionsyes infovia pluginsno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
PHPActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresLuauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication, warm standby infosince Version 14selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
BigObjectCitusEventStoreDBFileMakerSqrrl
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