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DBMS > Elasticsearch vs. H2 vs. LevelDB vs. NuoDB vs. TerarkDB

System Properties Comparison Elasticsearch vs. H2 vs. LevelDB vs. NuoDB vs. TerarkDB

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonH2  Xexclude from comparisonLevelDB  Xexclude from comparisonNuoDB  Xexclude from comparisonTerarkDB  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 metricFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesNuoDB is a webscale distributed database that supports SQL and ACID transactionsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelSearch engine
Vector DBMS
Relational DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score131.85
Rank#8  Overall
#1  Search engines
#1  Vector DBMS
Score7.32
Rank#49  Overall
#31  Relational DBMS
Score2.39
Rank#110  Overall
#18  Key-value stores
Score0.85
Rank#206  Overall
#98  Relational DBMS
Score0.00
Rank#388  Overall
#62  Key-value stores
Websitewww.elastic.co/­elasticsearchwww.h2database.comgithub.com/­google/­leveldbwww.3ds.com/­nuodb-distributed-sql-databasegithub.com/­bytedance/­terarkdb
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.h2database.com/­html/­main.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddoc.nuodb.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperElasticThomas MuellerGoogleDassault Systèmes infooriginally NuoDB, Inc.ByteDance, originally Terark
Initial release20102005201120132016
Current release8.6, January 20232.2.220, July 20231.23, February 2021
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSDcommercial infolimited edition freecommercial inforestricted open source version 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 languageJavaJavaC++C++C++
Server operating systemsAll OS with a Java VMAll OS with a Java VMIllumos
Linux
OS X
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.nonononono
Secondary indexesyes infoAll search fields are automatically indexedyesnoyesno
SQL infoSupport of SQLSQL-like query languageyesnoyesno
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
ADO.NET
JDBC
ODBC
C++ API
Java API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
JavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined FunctionsnoJava, SQLno
Triggersyes infoby using the 'percolation' featureyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonedata is dynamically stored/cached on the nodes where it is read/writtennone
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databasenoneyes infoManaged transparently by NuoDBnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornononono
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyes infoTemporary tableyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoStandard SQL roles/ privileges, Administrative Usersno

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More resources
ElasticsearchH2LevelDBNuoDBTerarkDB
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