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DBMS > BigchainDB vs. Elasticsearch vs. EXASOL vs. GeoMesa vs. Oracle Berkeley DB

System Properties Comparison BigchainDB vs. Elasticsearch vs. EXASOL vs. GeoMesa vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonEXASOL  Xexclude from comparisonGeoMesa  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
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 metricHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Widely used in-process key-value store
Primary database modelDocument storeSearch engineRelational DBMSSpatial DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
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
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitewww.bigchaindb.comwww.elastic.co/­elasticsearchwww.exasol.comwww.geomesa.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.exasol.com/­resourceswww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperElasticExasolCCRi and othersOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20162010200020141994
Current release8.6, January 20234.0.5, February 202418.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoElastic LicensecommercialOpen Source infoApache License 2.0Open Source infocommercial license 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 languagePythonJavaScalaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinuxAll OS with a Java VMAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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 infoonly with the Berkeley DB XML edition
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesnoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsCLI Client
RESTful HTTP API
Java API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
WebSocket
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
Lua
Python
R
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsnono
Triggersyes infoby using the 'percolation' featureyesnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingdepending on storage layernone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesdepending on storage layerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryes infoHadoop integrationyesno
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 Consistencydepending on storage layer
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 integrationyesdepending on storage layeryes
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardyes infodepending on the DBMS used for storageno

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More resources
BigchainDBElasticsearchEXASOLGeoMesaOracle Berkeley DB
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