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DBMS > Elasticsearch vs. Firebase Realtime Database vs. GigaSpaces vs. Hypertable

System Properties Comparison Elasticsearch vs. Firebase Realtime Database vs. GigaSpaces vs. Hypertable

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines 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 metricCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelSearch engineDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Wide column store
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
Score134.78
Rank#7  Overall
#1  Search engines
Score15.00
Rank#39  Overall
#6  Document stores
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Websitewww.elastic.co/­elasticsearchfirebase.google.com/­products/­realtime-databasewww.gigaspaces.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.html
DeveloperElasticGoogle infoacquired by Google 2014Gigaspaces TechnologiesHypertable Inc.
Initial release2010201220002009
Current release8.6, January 202315.5, September 20200.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC++
Server operating systemsAll OS with a Java VMhostedLinux
macOS
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 metadata
Secondary indexesyes infoAll search fields are automatically indexedyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL-like query languagenoSQL-99 for query and DML statementsno
APIs and other access methodsJava API
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
C++ API
Thrift
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'yesno
Triggersyes infoby using the 'percolation' featureCallbacks are triggered when data changesyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes infoMap-Reduce pattern can be built with XAP task executorsyes
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 infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
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 integrationyes
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access controlno

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More resources
ElasticsearchFirebase Realtime DatabaseGigaSpacesHypertable
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