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DBMS > Axibase vs. Databricks vs. Elasticsearch vs. FatDB vs. GeoSpock

System Properties Comparison Axibase vs. Databricks vs. Elasticsearch vs. FatDB vs. GeoSpock

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonDatabricks  Xexclude from comparisonElasticsearch  Xexclude from comparisonFatDB  Xexclude from comparisonGeoSpock  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A 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 .NET NoSQL DBMS that can integrate with and extend SQL Server.Spatial and temporal data processing engine for extreme data scale
Primary database modelTime Series DBMSDocument store
Relational DBMS
Search engineDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Websiteaxibase.com/­docs/­atsd/­financewww.databricks.comwww.elastic.co/­elasticsearchgeospock.com
Technical documentationdocs.databricks.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperAxibase CorporationDatabricksElasticFatCloudGeoSpock
Initial release2013201320102012
Current release155858.6, January 20232.0, September 2019
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoElastic Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC#Java, Javascript
Server operating systemsLinuxhostedAll OS with a Java VMWindowshosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyes
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.noyesnono
Secondary indexesnoyesyes infoAll search fields are automatically indexedyestemporal, categorical
SQL infoSupport of SQLSQL-like query languagewith Databricks SQLSQL-like query languageno infoVia inetgration in SQL ServerANSI SQL for query only (using Presto)
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Python
R
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyesyes infovia applicationsno
Triggersyesyes infoby using the 'percolation' featureyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesES-Hadoop Connectoryesno
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, allEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users can be defined per table
More information provided by the system vendor
AxibaseDatabricksElasticsearchFatDBGeoSpock
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
AxibaseDatabricksElasticsearchFatDBGeoSpock
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