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DBMS > Elasticsearch vs. GigaSpaces vs. HEAVY.AI vs. SWC-DB

System Properties Comparison Elasticsearch vs. GigaSpaces vs. HEAVY.AI vs. SWC-DB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 metricHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA high performance, scalable Wide Column DBMS
Primary database modelSearch engineDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Graph DBMS
Search engine
Spatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.elastic.co/­elasticsearchwww.gigaspaces.comgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.gigaspaces.com/­latest/­landing.htmldocs.heavy.ai
DeveloperElasticGigaspaces TechnologiesHEAVY.AI, Inc.Alex Kashirin
Initial release2010200020162020
Current release8.6, January 202315.5, September 20205.10, January 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPL V3
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 languageJavaJava, C++, .NetC++ and CUDAC++
Server operating systemsAll OS with a Java VMLinux
macOS
Solaris
Windows
LinuxLinux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLSQL-like query languageSQL-99 for query and DML statementsyesSQL-like query language
APIs and other access methodsJava API
RESTful HTTP/JSON API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
Proprietary protocol
Thrift
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C++
Server-side scripts infoStored proceduresyesyesnono
Triggersyes infoby using the 'percolation' featureyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryes 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, allImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.Memcached and Redis integrationyesyesno
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standard

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More resources
ElasticsearchGigaSpacesHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SWC-DB infoSuper Wide Column Database
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