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DBMS > Faircom DB vs. Hazelcast vs. SingleStore vs. Sphinx vs. UniData,UniVerse

System Properties Comparison Faircom DB vs. Hazelcast vs. SingleStore vs. Sphinx vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonHazelcast  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSphinx  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A widely adopted in-memory data gridMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeOpen source search engine for searching in data from different sources, e.g. relational databasesMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value store
Relational DBMS
Key-value storeRelational DBMSSearch engineMultivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#314  Overall
#45  Key-value stores
#141  Relational DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score2.25
Rank#112  Overall
#2  Multivalue DBMS
Websitewww.faircom.com/­products/­faircom-dbhazelcast.comwww.singlestore.comsphinxsearch.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlhazelcast.org/­imdg/­docsdocs.singlestore.comsphinxsearch.com/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperFairCom CorporationHazelcastSingleStore Inc.Sphinx Technologies Inc.Rocket Software
Initial release19792008201320011985
Current releaseV13, July 20245.3.6, November 20238.5, January 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition availableOpen Source infoGPL version 2, commercial licence 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 languageANSI C, C++JavaC++, GoC++C
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
All OS with a Java VMLinux info64 bit version requiredFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema free, schema optional, schema required, partial schema,schema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyesnooptional
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 indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsSQL-like query languageyes infobut no triggers and foreign keysSQL-like query language (SphinxQL)yes
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JCache
JPA
Memcached protocol
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Proprietary protocolJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infoEvent Listeners, Executor Servicesyesnoyes
Triggersyesyes infoEventsnonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingSharding infohash partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yes infoReplicated MapSource-replica replication infostores two copies of each physical data partition on two separate nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocan define user-defined aggregate functions for map-reduce-style calculationsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually Consistentone or two-phase-commit; repeatable reads; read commitedACIDnoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes 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.yesyesyes
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesRole-based access controlFine grained access control via users, groups and rolesnoAccess rights according to SQL-standard and operating system based

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More resources
Faircom DB infoformerly c-treeACEHazelcastSingleStore infoformer name was MemSQLSphinxUniData,UniVerse
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