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DBMS > Databricks vs. Elasticsearch vs. EsgynDB vs. Hive

System Properties Comparison Databricks vs. Elasticsearch vs. EsgynDB vs. Hive

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonHive  Xexclude from comparison
DescriptionThe 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 metricEnterprise-class SQL-on-Hadoop solution, powered by Apache Trafodiondata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument store
Relational DBMS
Search engineRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitewww.databricks.comwww.elastic.co/­elasticsearchwww.esgyn.cnhive.apache.org
Technical documentationdocs.databricks.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperDatabricksElasticEsgynApache Software Foundation infoinitially developed by Facebook
Initial release2013201020152012
Current release8.6, January 20233.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicensecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaJava
Server operating systemshostedAll OS with a Java VMLinuxAll OS with a Java VM
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query languageyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Thrift
Supported programming languagesPython
R
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesJava Stored Proceduresyes infouser defined functions and integration of map-reduce
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication between multi datacentersselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesyes infoquery execution via MapReduce
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, allImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles
More information provided by the system vendor
DatabricksElasticsearchEsgynDBHive
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksElasticsearchEsgynDBHive
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