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DBMS > EsgynDB vs. Hypertable vs. Trino vs. Weaviate

System Properties Comparison EsgynDB vs. Hypertable vs. Trino vs. Weaviate

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHypertable  Xexclude from comparisonTrino  Xexclude from comparisonWeaviate  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source BigTable implementation based on distributed file systems such as HadoopFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSWide column storeRelational DBMSVector DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.esgyn.cntrino.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationtrino.io/­broadcast
trino.io/­docs/­current
weaviate.io/­developers/­weaviate
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperEsgynHypertable Inc.Trino Software FoundationWeaviate B.V.
Initial release201520092012 info2020 rebranded from PrestoSQL2019
Current release0.9.8.11, March 20161.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageC++, JavaC++JavaGo
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS infofor devlopment
Data schemeyesschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyesyes 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.nonono
Secondary indexesyesrestricted infoonly exact value or prefix value scansdepending on connected data-sourceyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnoyesGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
C++ API
Thrift
JDBC
RESTful HTTP API
Trino CLI
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Java
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes, depending on connected data-sourceno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingdepending on connected data-sourceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factor on file system leveldepending on connected data-sourceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-sourceEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnodepending on connected data-sourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoSQL standard access controlAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
EsgynDBHypertableTrinoWeaviate
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
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Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
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As a database supporting the development of generative AI and semantic search applications...
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Key customersTrino is widely adopted across the globe as freely-available open source software....
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All companies that have data. ​
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more
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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
EsgynDBHypertableTrinoWeaviate
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