DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > EsgynDB vs. Hyprcubd vs. OpenEdge vs. Weaviate

System Properties Comparison EsgynDB vs. Hyprcubd vs. OpenEdge vs. Weaviate

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonOpenEdge  Xexclude from comparisonWeaviate  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionServerless Time Series DBMSApplication development environment with integrated database management systemAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score3.75
Rank#88  Overall
#47  Relational DBMS
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitewww.esgyn.cnhyprcubd.com (offline)www.progress.com/­openedgegithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestweaviate.io/­developers/­weaviate
DeveloperEsgynHyprcubd, Inc.Progress Software CorporationWeaviate B.V.
Initial release201519842019
Current releaseOpenEdge 12.2, March 20201.19, May 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaGoGo
Server operating systemsLinuxhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyes 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.nonoyesno
Secondary indexesyesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesSQL-like query languageyes infoclose to SQL 92GraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC (https)JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetProgress proprietary ABL (Advanced Business Language)JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardtoken accessUsers and groupsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
EsgynDBHyprcubdOpenEdgeWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
EsgynDBHyprcubdOpenEdgeWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

show all

Recent citations in the news

OpenEdge Application Development | Progress OpenEdge
14 September 2014, Progress Software

PoC Exploit Released for OpenEdge Authentication Gateway & AdminServer Vulnerability
11 March 2024, GBHackers

What's New in OpenEdge 12.8
15 April 2024, release.nl

provided by Google News

Weaviate Partners with Snowflake to Bring Secure GenAI to Snowpark Container Services
8 February 2024, Datanami

Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases
18 July 2023, Towards Data Science

The 5 Best Vector Databases You Must Try in 2024
17 November 2023, KDnuggets

Weaviate Raises $50 Million Series B Funding to Meet Soaring Demand for AI Native Vector Database Technology ...
21 April 2023, PR Newswire

How to choose your vector database?
26 June 2023, sicara.fr

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Present your product here