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DBMS > BigchainDB vs. Ehcache vs. Elasticsearch vs. Kinetica

System Properties Comparison BigchainDB vs. Ehcache vs. Elasticsearch vs. Kinetica

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonEhcache  Xexclude from comparisonElasticsearch  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA widely adopted Java cache with tiered storage optionsA 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 metricFully vectorized database across both GPUs and CPUs
Primary database modelDocument storeKey-value storeSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score135.35
Rank#7  Overall
#1  Search engines
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitewww.bigchaindb.comwww.ehcache.orgwww.elastic.co/­elasticsearchwww.kinetica.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.ehcache.org/­documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.kinetica.com
DeveloperTerracotta Inc, owned by Software AGElasticKinetica
Initial release2016200920102012
Current release3.10.0, March 20228.6, January 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2; commercial licenses availableOpen Source infoElastic Licensecommercial
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 languagePythonJavaJavaC, C++
Server operating systemsLinuxAll OS with a Java VMAll OS with a Java VMLinux
Data schemeschema-freeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononono
Secondary indexesnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsCLI Client
RESTful HTTP API
JCacheJava API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Java.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesuser defined functions
Triggersyes infoCache Event Listenersyes infoby using the 'percolation' featureyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby using Terracotta ServeryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyes infoGPU vRAM or System RAM
User concepts infoAccess controlyesnoAccess rights for users and roles on table level

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More resources
BigchainDBEhcacheElasticsearchKinetica
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