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DBMS > BigchainDB vs. Datomic vs. Elasticsearch vs. Netezza

System Properties Comparison BigchainDB vs. Datomic vs. Elasticsearch vs. Netezza

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDatomic  Xexclude from comparisonElasticsearch  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA 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 metricData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument storeRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitewww.bigchaindb.comwww.datomic.comwww.elastic.co/­elasticsearchwww.ibm.com/­products/­netezza
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.datomic.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperCognitectElasticIBM
Initial release2016201220102000
Current release1.0.7075, December 20238.6, January 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infolimited edition freeOpen 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 languagePythonJava, ClojureJava
Server operating systemsLinuxAll OS with a Java VMAll OS with a Java VMLinux infoincluded in appliance
Data schemeschema-freeyesschema-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.nonono
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoSQL-like query languageyes
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP APIJava API
RESTful HTTP/JSON API
JDBC
ODBC
OLE DB
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Clojure
Java
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes
TriggersBy using transaction functionsyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectoryes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentMemcached and Redis integration
User concepts infoAccess controlyesnoUsers with fine-grained authorization concept

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BigchainDBDatomicElasticsearchNetezza infoAlso called PureData System for Analytics by IBM
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