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DBMS > EsgynDB vs. eXtremeDB vs. LevelDB vs. Weaviate

System Properties Comparison EsgynDB vs. eXtremeDB vs. LevelDB vs. Weaviate

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonLevelDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionNatively in-memory DBMS with options for persistency, high-availability and clusteringEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Key-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#311  Overall
#141  Relational DBMS
Score0.66
Rank#239  Overall
#109  Relational DBMS
#20  Time Series DBMS
Score3.32
Rank#100  Overall
#16  Key-value stores
Score2.00
Rank#138  Overall
#4  Vector DBMS
Websitewww.esgyn.cnwww.mcobject.comgithub.com/­google/­leveldbgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.mcobject.com/­docs/­extremedb.htmgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdweaviate.io/­developers/­weaviate
DeveloperEsgynMcObjectGoogleWeaviate B.V.
Initial release2015200120112019
Current release8.2, 20211.23, February 20211.19, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen 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++, JavaC and C++C++Go
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Illumos
Linux
OS X
Windows
Data schemeyesyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesnoyes 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.nono infosupport of XML interfaces availablenono
Secondary indexesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyes infowith the option: eXtremeSQLnoGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyesnono
Triggersnoyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
EsgynDBeXtremeDBLevelDBWeaviate
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
All companies that have data. ​
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
EsgynDBeXtremeDBLevelDBWeaviate
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