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DBMS > H2GIS vs. Sadas Engine vs. Vertica

System Properties Comparison H2GIS vs. Sadas Engine vs. Vertica

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Editorial information provided by DB-Engines
NameH2GIS  Xexclude from comparisonSadas Engine  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionSpatial extension of H2SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#306  Overall
#4  Spatial DBMS
Score0.01
Rank#347  Overall
#145  Relational DBMS
Score20.33
Rank#35  Overall
#21  Relational DBMS
Websitewww.h2gis.orgwww.sadasengine.comwww.vertica.com
Technical documentationwww.h2gis.org/­docs/­homewww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperCNRSSADAS s.r.l.Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release201320062005
Current release8.0Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourceOpen Source infoLGPL 3.0commercial infofree trial version availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAIX
Linux
Windows
Linux
Data schemeyesyesyes infoUnstructured data can be stored in specific Flex-Tables
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.nonoyes
Secondary indexesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyesyesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesJava.Net
C
C#
C++
Groovy
Java
PHP
Python
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes infobased on H2noyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2noneMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
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)yesyes
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.yesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlyes infobased on H2Access rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
H2GISSadas EngineVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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More resources
H2GISSadas EngineVertica infoVertica Analytics Platform
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