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DBMS > H2GIS vs. SQream DB

System Properties Comparison H2GIS vs. SQream DB

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Editorial information provided by DB-Engines
NameH2GIS  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionSpatial extension of H2a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#324  Overall
#4  Spatial DBMS
Score0.59
Rank#226  Overall
#110  Relational DBMS
Websitewww.h2gis.orgsqream.com
Technical documentationwww.h2gis.org/­docs/­homedocs.sqream.com
DeveloperCNRSSQream Technologies
Initial release20132014
Current release2021.2, September 2021
License infoCommercial or Open SourceOpen Source infoLGPL 3.0commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Types
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
Secondary indexesyesyes
SQL infoSupport of SQLyesyes
APIs and other access methods.Net
JDBC
ODBC
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infobased on H2user defined functions in Python
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyes infobased on H2
More information provided by the system vendor
H2GISSQream DB
Specific characteristicsDue to exponentially growing data, organizations today are facing slowdowns, with...
» more
Competitive advantagesMuch faster time to insight Analyze significantly more data Achieve previously unobtainable...
» more
Typical application scenariosWhat can you do with 100x faster SQL analytics? Better and more timely decision making...
» more
Key customersSome of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile,...
» more
News

Trend-Setting Products in Data and Information Management for 2022
4 January 2022

SQream Snaps Up Panoply to Supercharge its Cloud Offerings
19 December 2021

SQream acquires Israel’s Panoply in $60-70 million deal
16 December 2021

SQream acquires no-code data platform Panoply
16 December 2021

SQream acquires no-code data platform Panoply
16 December 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
H2GISSQream DB
Recent citations in the news

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

Next-Gen Database Company SQream Raises $39.4M In Funding
24 June 2020, CRN: Technology news for channel partners and solution providers

Alibaba Group leads $26.4M Series B in GPU database provider SQream
30 May 2018, TechCrunch

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

SQream Raises $39.4 Million in Series B+ Financing Round to Accelerate its Deep Tech Product Innovation for the Rapid Analytics of Massive Data Stores
24 June 2020, PRNewswire

provided by Google News



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