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DBMS > eXtremeDB vs. Galaxybase vs. Snowflake vs. Weaviate

System Properties Comparison eXtremeDB vs. Galaxybase vs. Snowflake vs. Weaviate

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonSnowflake  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringScalable, ACID-compliant native distributed parallel graph platformCloud-based data warehousing service for structured and semi-structured dataAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.mcobject.comgalaxybase.comwww.snowflake.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.snowflake.net/­manuals/­index.htmlweaviate.io/­developers/­weaviate
DeveloperMcObjectChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Snowflake Computing Inc.Weaviate B.V.
Initial release2001201720142019
Current release8.2, 2021Nov 20, November 20211.19, May 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C and JavaGo
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linuxhosted
Data schemeyesStrong typed schemayes infosupport of semi-structured data formats (JSON, XML, Avro)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.no infosupport of XML interfaces availablenoyesno
Secondary indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnoyesGraphQL is used as query language
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
CLI Client
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
Go
Java
Python
JavaScript (Node.js)
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesuser defined procedures and functionsuser defined functionsno
Triggersyes infoby defining eventsno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
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.yesyesnoyes
User concepts infoAccess controlRole-based access controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
eXtremeDBGalaxybaseSnowflakeWeaviate
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Weaviate is an open source vector database that is robust, scalable, cloud-native,...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Flexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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As a database supporting the development of generative AI and semantic search applications...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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All companies that have data. ​
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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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
eXtremeDBGalaxybaseSnowflakeWeaviate
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