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DBMS > H2GIS vs. Kyligence Enterprise vs. Vertica vs. Weaviate

System Properties Comparison H2GIS vs. Kyligence Enterprise vs. Vertica vs. Weaviate

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Editorial information provided by DB-Engines
NameH2GIS  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionSpatial extension of H2A distributed analytics engine for big data, built on top of Apache KylinCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelSpatial DBMSRelational DBMSRelational DBMS infoColumn orientedVector DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#372  Overall
#7  Spatial DBMS
Score0.39
Rank#276  Overall
#125  Relational DBMS
Score11.40
Rank#43  Overall
#27  Relational DBMS
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitewww.h2gis.orgkyligence.io/­kyligence-enterprisewww.vertica.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.h2gis.org/­docs/­homevertica.com/­documentationweaviate.io/­developers/­weaviate
DeveloperCNRSKyligence, Inc.OpenText infopreviously Micro Focus and Hewlett PackardWeaviate B.V.
Initial release2013201620052019
Current release12.0.3, January 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoLGPL 3.0commercialcommercial infoLimited community edition freeOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Go
Server operating systemsLinuxLinux
Data schemeyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.yes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.nononono
Secondary indexesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.yes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesANSI SQL for queries (using Apache Calcite)Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.GraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyes infobased on H2yes, PostgreSQL PL/pgSQL, with minor differencesno
Triggersyesyes, called Custom Alertsno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, hierarchical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2Multi-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlyes infobased on H2fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
H2GISKyligence EnterpriseVertica infoOpenText™ Vertica™Weaviate
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Weaviate is an open source vector database that is robust, scalable, cloud-native,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Flexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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As a database supporting the development of generative AI and semantic search applications...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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All companies that have data. ​
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Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
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More resources
H2GISKyligence EnterpriseVertica infoOpenText™ Vertica™Weaviate
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