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DBMS > Hive vs. OceanBase vs. Sadas Engine vs. VelocityDB

System Properties Comparison Hive vs. OceanBase vs. Sadas Engine vs. VelocityDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonOceanBase  Xexclude from comparisonSadas Engine  Xexclude from comparisonVelocityDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA distributed, high available RDBMS compatible with Oracle and MySQLSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitehive.apache.orgen.oceanbase.comwww.sadasengine.comvelocitydb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeen.oceanbase.com/­docs/­oceanbase-databasewww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationvelocitydb.com/­UserGuide
DeveloperApache Software Foundation infoinitially developed by FacebookOceanBase infopreviously Alibaba and Ant GroupSADAS s.r.l.VelocityDB Inc
Initial release2012201020062011
Current release3.1.3, April 20224.3.0, April 20248.07.x
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoCommercial license availablecommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++C#
Server operating systemsAll OS with a Java VMLinuxAIX
Linux
Windows
Any that supports .NET
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesno
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
JDBC
ODBC
Proprietary protocol
.Net
Supported programming languagesC++
Java
PHP
Python
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducePL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modenono
TriggersnoyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.yes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standardBased on Windows Authentication

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More resources
HiveOceanBaseSadas EngineVelocityDB
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