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DBMS > Databricks vs. Google Cloud Datastore vs. Kyligence Enterprise vs. Weaviate

System Properties Comparison Databricks vs. Google Cloud Datastore vs. Kyligence Enterprise vs. Weaviate

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA distributed analytics engine for big data, built on top of Apache KylinAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Relational DBMS
Document storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitewww.databricks.comcloud.google.com/­datastorekyligence.io/­kyligence-enterprisegithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.databricks.comcloud.google.com/­datastore/­docsweaviate.io/­developers/­weaviate
DeveloperDatabricksGoogleKyligence, Inc.Weaviate B.V.
Initial release2013200820162019
Current release1.19, May 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemshostedhostedLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes, details hereyesyes 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.yesnonono
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLwith Databricks SQLSQL-like query language (GQL)ANSI SQL for queries (using Apache Calcite)GraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesusing Google App Engineno
TriggersCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using Paxosyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)API Keys
OpenID Connect Discovery
More information provided by the system vendor
DatabricksGoogle Cloud DatastoreKyligence EnterpriseWeaviate
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Weaviate 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...
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Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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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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DatabricksGoogle Cloud DatastoreKyligence EnterpriseWeaviate
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