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DBMS > BigObject vs. Brytlyt vs. Ehcache vs. InfluxDB vs. Linter

System Properties Comparison BigObject vs. Brytlyt vs. Ehcache vs. InfluxDB vs. Linter

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonBrytlyt  Xexclude from comparisonEhcache  Xexclude from comparisonInfluxDB  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA widely adopted Java cache with tiered storage optionsDBMS for storing time series, events and metricsRDBMS for high security requirements
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score0.03
Rank#368  Overall
#156  Relational DBMS
Websitebigobject.iobrytlyt.iowww.ehcache.orgwww.influxdata.com/­products/­influxdb-overviewlinter.ru
Technical documentationdocs.bigobject.iodocs.brytlyt.iowww.ehcache.org/­documentationdocs.influxdata.com/­influxdb
DeveloperBigObject, Inc.BrytlytTerracotta Inc, owned by Software AGrelex.ru
Initial release20152016200920131990
Current release5.0, August 20233.10.0, March 20222.7.6, April 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoMIT-License; commercial enterprise version availablecommercial
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 languageC, C++ and CUDAJavaGoC and C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Windows
All OS with a Java VMLinux
OS X infothrough Homebrew
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data and Stringsyes
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 functionality.nonono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoSQL-like query languageyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCacheHTTP API
JSON over UDP
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Java.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresLuauser defined functions infoin PL/pgSQLnonoyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnoyesyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infoby using Terracotta Serverselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoDepending on used storage engine
User concepts infoAccess controlnofine grained access rights according to SQL-standardnosimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
BigObjectBrytlytEhcacheInfluxDBLinter
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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