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DBMS > Elasticsearch vs. Google Cloud Bigtable vs. H2 vs. Heroic vs. Tibero

System Properties Comparison Elasticsearch vs. Google Cloud Bigtable vs. H2 vs. Heroic vs. Tibero

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonH2  Xexclude from comparisonHeroic  Xexclude from comparisonTibero  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 metricGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA secure RDBMS, designed for easy portability from Oracle
Primary database modelSearch engineKey-value store
Wide column store
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitewww.elastic.co/­elasticsearchcloud.google.com/­bigtablewww.h2database.comgithub.com/­spotify/­heroicus.tmaxsoft.com/­products/­tibero
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcloud.google.com/­bigtable/­docswww.h2database.com/­html/­main.htmlspotify.github.io/­heroictechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperElasticGoogleThomas MuellerSpotifyTmaxSoft
Initial release20102015200520142003
Current release8.6, January 20232.2.220, July 20236, April 2015
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaC and Assembler
Server operating systemsAll OS with a Java VMhostedAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonononoyes
Secondary indexesyes infoAll search fields are automatically indexednoyesyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL-like query languagenoyesnoyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaC
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesnoJava Stored Procedures and User-Defined FunctionsnoPersistent Stored Procedure (PSM)
Triggersyes infoby using the 'percolation' featurenoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesnonono
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 (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyesnono infoplanned for next version
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
ElasticsearchGoogle Cloud BigtableH2HeroicTibero
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