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DBMS > Elasticsearch vs. Faircom DB vs. GigaSpaces vs. RisingWave vs. Sphinx

System Properties Comparison Elasticsearch vs. Faircom DB vs. GigaSpaces vs. RisingWave vs. Sphinx

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonGigaSpaces  Xexclude from comparisonRisingWave  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA distributed RDBMS for stream processing, wire-compatible with PostgreSQLOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineKey-value store
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.elastic.co/­elasticsearchwww.faircom.com/­products/­faircom-dbwww.gigaspaces.comwww.risingwave.com/­databasesphinxsearch.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.gigaspaces.com/­latest/­landing.htmldocs.risingwave.com/­docs/­current/­introsphinxsearch.com/­docs
DeveloperElasticFairCom CorporationGigaspaces TechnologiesRisingWave LabsSphinx Technologies Inc.
Initial release20101979200020222001
Current release8.6, January 2023V12, November 202015.5, September 20201.2, September 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercial infoRestricted, free version availableOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
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 languageJavaANSI C, C++Java, C++, .NetRustC++
Server operating systemsAll OS with a Java VMAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
macOS
Solaris
Windows
Docker
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema free, schema optional, schema required, partial schema,schema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesStandard SQL-types and JSONno
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.nonono infoXML can be used for describing objects metadatano
Secondary indexesyes infoAll search fields are automatically indexedyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyes, ANSI SQL with proprietary extensionsSQL-99 for query and DML statementsyesSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
PostgreSQL wire protocol
Proprietary protocol
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C++
Java
Python
Scala
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++yesUDFs in Python or Javano
Triggersyes infoby using the 'percolation' featureyesyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanotunable from ACID to Eventually ConsistentACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyesyes
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesRole-based access controlUsers and Rolesno

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More resources
ElasticsearchFaircom DB infoformerly c-treeACEGigaSpacesRisingWaveSphinx
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