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DBMS > Axibase vs. BigObject vs. EventStoreDB vs. Linter vs. Solr

System Properties Comparison Axibase vs. BigObject vs. EventStoreDB vs. Linter vs. Solr

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonBigObject  Xexclude from comparisonEventStoreDB  Xexclude from comparisonLinter  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAnalytic DBMS for real-time computations and queriesIndustrial-strength, open-source database solution built from the ground up for event sourcing.RDBMS for high security requirementsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelTime Series DBMSRelational DBMS infoa hierachical model (tree) can be imposedEvent StoreRelational DBMSSearch engine
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteaxibase.com/­docs/­atsd/­financebigobject.iowww.eventstore.comlinter.rusolr.apache.org
Technical documentationdocs.bigobject.iodevelopers.eventstore.comsolr.apache.org/­resources.html
DeveloperAxibase CorporationBigObject, Inc.Event Store Limitedrelex.ruApache Software Foundation
Initial release20132015201219902006
Current release1558521.2, February 20219.6.0, April 2024
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercial infofree community edition availableOpen SourcecommercialOpen Source infoApache Version 2
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 languageJavaC and C++Java
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesnoyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyesSolr Parallel SQL Interface
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
fluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Java API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesLuayes infoproprietary syntax with the possibility to convert from PL/SQLJava plugins
Triggersyesnoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
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.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes

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More resources
AxibaseBigObjectEventStoreDBLinterSolr
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