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DBMS > Hive vs. PostGIS vs. SingleStore vs. TinkerGraph vs. WakandaDB

System Properties Comparison Hive vs. PostGIS vs. SingleStore vs. TinkerGraph vs. WakandaDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonPostGIS  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTinkerGraph  Xexclude from comparisonWakandaDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopSpatial extension of PostgreSQLMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSSpatial DBMSRelational DBMSGraph DBMSObject oriented DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitehive.apache.orgpostgis.netwww.singlestore.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwakanda.github.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homepostgis.net/­documentationdocs.singlestore.comwakanda.github.io/­doc
DeveloperApache Software Foundation infoinitially developed by FacebookSingleStore Inc.Wakanda SAS
Initial release20122005201320092012
Current release3.1.3, April 20223.4.2, February 20248.5, January 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL v2.0commercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaCC++, GoJavaC++, JavaScript
Server operating systemsAll OS with a Java VMLinux info64 bit version requiredLinux
OS X
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infobut no triggers and foreign keysnono
APIs and other access methodsJDBC
ODBC
Thrift
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
TinkerPop 3RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Groovy
Java
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsyesnoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLSharding infohash partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on PostgreSQLSource-replica replication infostores two copies of each physical data partition on two separate nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono infocan define user-defined aggregate functions for map-reduce-style calculationsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)noyes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.optionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and rolesyes infobased on PostgreSQLFine grained access control via users, groups and rolesnoyes
More information provided by the system vendor
HivePostGISSingleStore infoformer name was MemSQLTinkerGraphWakandaDB
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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HivePostGISSingleStore infoformer name was MemSQLTinkerGraphWakandaDB
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