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DBMS > BigchainDB vs. Elasticsearch vs. InterSystems Caché vs. LeanXcale vs. Tkrzw

System Properties Comparison BigchainDB vs. Elasticsearch vs. InterSystems Caché vs. LeanXcale vs. Tkrzw

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonLeanXcale  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA 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 metricA multi-model DBMS and application serverA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument storeSearch engineKey-value store
Object oriented DBMS
Relational DBMS
Key-value store
Relational DBMS
Key-value store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score135.35
Rank#7  Overall
#1  Search engines
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.bigchaindb.comwww.elastic.co/­elasticsearchwww.intersystems.com/­products/­cachewww.leanxcale.comdbmx.net/­tkrzw
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.intersystems.com
DeveloperElasticInterSystemsLeanXcaleMikio Hirabayashi
Initial release20162010199720152020
Current release8.6, January 20232018.1.4, May 20200.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoElastic LicensecommercialcommercialOpen Source infoApache Version 2.0
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 languagePythonJavaC++
Server operating systemsLinuxAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentdepending on used data modelyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nonoyesno
Secondary indexesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query languageyesyes infothrough Apache Derbyno
APIs and other access methodsCLI Client
RESTful HTTP API
Java API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Java
C
Java
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesyesno
Triggersyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornonono
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 integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyesyes infousing specific database classes
User concepts infoAccess controlyesAccess rights for users, groups and rolesno

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More resources
BigchainDBElasticsearchInterSystems CachéLeanXcaleTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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