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DBMS > Elasticsearch vs. FoundationDB vs. GridGain vs. HBase

System Properties Comparison Elasticsearch vs. FoundationDB vs. GridGain vs. HBase

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFoundationDB  Xexclude from comparisonGridGain  Xexclude from comparisonHBase  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
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 metricOrdered key-value store. Core features are complimented by layers.GridGain is an in-memory computing platform, built on Apache IgniteWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelSearch engineDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value store
Relational DBMS
Wide column store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Websitewww.elastic.co/­elasticsearchgithub.com/­apple/­foundationdbwww.gridgain.comhbase.apache.org
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlapple.github.io/­foundationdbwww.gridgain.com/­docs/­index.htmlhbase.apache.org/­book.html
DeveloperElasticFoundationDBGridGain Systems, Inc.Apache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2010201320072008
Current release8.6, January 20236.2.28, November 2020GridGain 8.5.12.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache 2.0commercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, C++, .NetJava
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free infosome layers support schemasyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesoptions to bring your own types, AVRO
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.noyesno
Secondary indexesyes infoAll search fields are automatically indexednoyesno
SQL infoSupport of SQLSQL-like query languagesupported in specific SQL layer onlyANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJava API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
Thrift
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresyesin SQL-layer onlyyes (compute grid and cache interceptors can be used instead)yes infoCoprocessors in Java
Triggersyes infoby using the 'percolation' featurenoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes (compute grid and hadoop accelerator)yes
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, allLinearizable consistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDSingle row ACID (across millions of columns)
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 integrationyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
ElasticsearchFoundationDBGridGainHBase
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