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DBMS > GeoSpock vs. Hive vs. Ignite vs. NSDb

System Properties Comparison GeoSpock vs. Hive vs. Ignite vs. NSDb

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonNSDb  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaledata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Time Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitegeospock.comhive.apache.orgignite.apache.orgnsdb.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docsnsdb.io/­Architecture
DeveloperGeoSpockApache Software Foundation infoinitially developed by FacebookApache Software Foundation
Initial release201220152017
Current release2.0, September 20193.1.3, April 2022Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaC++, Java, .NetJava, Scala
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, string
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.noyesno
Secondary indexestemporal, categoricalyesyesall fields are automatically indexed
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLSQL-like query language
APIs and other access methodsJDBCJDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC
HTTP REST
WebSocket
Supported programming languagesC++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Java
Scala
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)no
Triggersnonoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users, groups and rolesSecurity Hooks for custom implementations

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More resources
GeoSpockHiveIgniteNSDb
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