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DBMS > EsgynDB vs. HarperDB vs. Hawkular Metrics vs. Weaviate

System Properties Comparison EsgynDB vs. HarperDB vs. Hawkular Metrics vs. Weaviate

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHarperDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSDocument storeTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#311  Overall
#141  Relational DBMS
Score0.55
Rank#255  Overall
#39  Document stores
Score0.07
Rank#366  Overall
#38  Time Series DBMS
Score2.00
Rank#138  Overall
#4  Vector DBMS
Websitewww.esgyn.cnwww.harperdb.iowww.hawkular.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.harperdb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guideweaviate.io/­developers/­weaviate
DeveloperEsgynHarperDBCommunity supported by Red HatWeaviate B.V.
Initial release2015201720142019
Current release3.1, August 20211.19, May 2023
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache 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.
Implementation languageC++, JavaNode.jsJavaGo
Server operating systemsLinuxLinux
OS X
Linux
OS X
Windows
Data schemeyesdynamic schemaschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes 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 indexesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesSQL-like data manipulation statementsnoGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP RESTGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Go
Java
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresJava Stored ProceduresCustom Functions infosince release 3.1nono
Triggersnonoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infothe nodes on which a table resides can be definedselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
EsgynDBHarperDBHawkular MetricsWeaviate
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

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More resources
EsgynDBHarperDBHawkular MetricsWeaviate
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