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DBMS > Databricks vs. Hive vs. SiteWhere vs. Tibero

System Properties Comparison Databricks vs. Hive vs. SiteWhere vs. Tibero

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHive  Xexclude from comparisonSiteWhere  Xexclude from comparisonTibero  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 HadoopM2M integration platform for persisting/querying time series dataA secure RDBMS, designed for easy portability from Oracle
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitewww.databricks.comhive.apache.orggithub.com/­sitewhere/­sitewhereus.tmaxsoft.com/­products/­tibero
Technical documentationdocs.databricks.comcwiki.apache.org/­confluence/­display/­Hive/­Homesitewhere1.sitewhere.io/­index.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperDatabricksApache Software Foundation infoinitially developed by FacebookSiteWhereTmaxSoft
Initial release2013201220102003
Current release3.1.3, April 20226, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoCommon Public Attribution License Version 1.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and Assembler
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yespredefined schemeyes
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.yesnoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
HTTP RESTJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesPython
R
Scala
C++
Java
PHP
Python
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infouser defined functions and integration of map-reducePersistent Stored Procedure (PSM)
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBasehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.nonono infoplanned for next version
User concepts infoAccess controlAccess rights for users, groups and rolesUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard (SQL 92, SQL 99)
More information provided by the system vendor
DatabricksHiveSiteWhereTibero
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksHiveSiteWhereTibero
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