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DBMS > Axibase vs. Hazelcast vs. Sphinx vs. SQLite

System Properties Comparison Axibase vs. Hazelcast vs. Sphinx vs. SQLite

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonHazelcast  Xexclude from comparisonSphinx  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationA widely adopted in-memory data gridOpen source search engine for searching in data from different sources, e.g. relational databasesWidely used embeddable, in-process RDBMS
Primary database modelTime Series DBMSKey-value storeSearch engineRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financehazelcast.comsphinxsearch.comwww.sqlite.org
Technical documentationhazelcast.org/­imdg/­docssphinxsearch.com/­docswww.sqlite.org/­docs.html
DeveloperAxibase CorporationHazelcastSphinx Technologies Inc.Dwayne Richard Hipp
Initial release2013200820012000
Current release155855.3.6, November 20233.5.1, February 20233.46.0  (23 May 2024), May 2024
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C
Server operating systemsLinuxAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less
Data schemeyesschema-freeyesyes infodynamic column types
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesnoyes infonot rigid because of 'dynamic typing' concept.
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 infothe object must implement a serialization strategyno
Secondary indexesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocolADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresyesyes infoEvent Listeners, Executor Servicesnono
Triggersyesyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated Mapnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole-based access controlnono

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