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DBMS > GeoSpock vs. Hazelcast vs. OmniSci

System Properties Comparison GeoSpock vs. Hazelcast vs. OmniSci

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHazelcast  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionSpatial and temporal data processing engine for extreme data scaleA widely adopted in-memory data gridA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSKey-value storeRelational DBMS
Secondary database modelsTime Series DBMSDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#273  Overall
#125  Relational DBMS
Score9.52
Rank#50  Overall
#6  Key-value stores
Score1.27
Rank#153  Overall
#73  Relational DBMS
Websitegeospock.comhazelcast.comgithub.com/­omnisci/­omniscidb
www.omnisci.com
Technical documentationdocs.geospock.com/­Content/­Home.htmhazelcast.org/­imdg/­docsdocs.omnisci.com
DeveloperGeoSpockHazelcastMapD Technologies, Inc.
Initial release20082016
Current release2.0, September 20195.0, September 20215.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaC++ and CUDA
Server operating systemshostedAll OS with a Java VMLinux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infothe object must implement a serialization strategyno
Secondary indexestemporal, categoricalyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query languageyes
APIs and other access methodsJDBCJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesno
Triggersnoyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users can be defined per tableRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
GeoSpockHazelcastOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» more
Competitive advantagesOnly OmniSci allows users to visually and interactively discover high-value patterns,...
» more
Typical application scenariosSpatiotemporal and interactive visual analysis on massive, disparate datasets.
» more
Licensing and pricing modelsOmniSci Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more

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More resources
GeoSpockHazelcastOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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How GeoSpock is supercharging geospatial analytics
23 February 2021, ComputerWeekly.com

GeoSpock Raises Additional $5.4M in Strategic Funding
2 October 2020, FinSMEs

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The Global GPU Database Market is expected to grow by $ 361.56 mn during 2021-2025, progressing at a CAGR of 17.82% during the forecast period
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