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DBMS > Databricks vs. Hive vs. Warp 10

System Properties Comparison Databricks vs. Hive vs. Warp 10

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHive  Xexclude from comparisonWarp 10  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.data warehouse software for querying and managing large distributed datasets, built on HadoopTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series 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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.databricks.comhive.apache.orgwww.warp10.io
Technical documentationdocs.databricks.comcwiki.apache.org/­confluence/­display/­Hive/­Homewww.warp10.io/­content/­02_Getting_started
DeveloperDatabricksApache Software Foundation infoinitially developed by FacebookSenX
Initial release201320122015
Current release3.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyes
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.yesno
Secondary indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
HTTP API
Jupyter
WebSocket
Supported programming languagesPython
R
Scala
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infouser defined functions and integration of map-reduceyes infoWarpScript
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
DatabricksHiveWarp 10
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksHiveWarp 10
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