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DBMS > HarperDB vs. PostGIS vs. Spark SQL vs. TigerGraph vs. Trafodion

System Properties Comparison HarperDB vs. PostGIS vs. Spark SQL vs. TigerGraph vs. Trafodion

Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonPostGIS  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigerGraph  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Spatial extension of PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeTransactional SQL-on-Hadoop DBMS
Primary database modelDocument storeSpatial DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.harperdb.iopostgis.netspark.apache.org/­sqlwww.tigergraph.comtrafodion.apache.org
Technical documentationdocs.harperdb.io/­docspostgis.net/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.comtrafodion.apache.org/­documentation.html
DeveloperHarperDBApache Software FoundationApache Software Foundation, originally developed by HP
Initial release20172005201420172014
Current release3.1, August 20213.4.2, February 20243.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGPL v2.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.jsCScalaC++C++, Java
Server operating systemsLinux
OS X
Linux
OS X
Windows
LinuxLinux
Data schemedynamic schemayesyesyesyes
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyesyesyes
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.noyesnonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like data manipulation statementsyesSQL-like DML and DDL statementsSQL-like query language (GSQL)yes
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Java
Python
R
Scala
C++
Java
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1user defined functionsnoyesJava Stored Procedures
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusteryes infobased on PostgreSQLyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedyes infobased on PostgreSQLnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononono
User concepts infoAccess controlAccess rights for users and rolesyes infobased on PostgreSQLnoRole-based access controlfine grained access rights according to SQL-standard

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More resources
HarperDBPostGISSpark SQLTigerGraphTrafodion
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