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DBMS > Hive vs. IBM Db2 warehouse vs. NSDb vs. Splice Machine vs. TinkerGraph

System Properties Comparison Hive vs. IBM Db2 warehouse vs. NSDb vs. Splice Machine vs. TinkerGraph

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonNSDb  Xexclude from comparisonSplice Machine  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopCloud-based data warehousing serviceScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitehive.apache.orgwww.ibm.com/­products/­db2/­warehousensdb.iosplicemachine.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homensdb.io/­Architecturesplicemachine.com/­how-it-works
DeveloperApache Software Foundation infoinitially developed by FacebookIBMSplice Machine
Initial release20122014201720142009
Current release3.1.3, April 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ScalaJavaJava
Server operating systemsAll OS with a Java VMhostedLinux
macOS
Linux
OS X
Solaris
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyesyes
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.no infoImport/export of XML data possiblenono
Secondary indexesyesyesall fields are automatically indexedyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
JDBC
Native Spark Datasource
ODBC
TinkerPop 3
Supported programming languagesC++
Java
PHP
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Groovy
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducePL/SQL, SQL PLnoyes infoJavano
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesnoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)no
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
HiveIBM Db2 warehouse infoformerly named IBM dashDBNSDbSplice MachineTinkerGraph
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