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

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

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEsgynDB  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAutomatically 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
Relational DBMSDocument storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.databricks.comwww.esgyn.cncloud.google.com/­datastorekyligence.io/­kyligence-enterprisegithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.databricks.comcloud.google.com/­datastore/­docsweaviate.io/­developers/­weaviate
DeveloperDatabricksEsgynGoogleKyligence, Inc.Weaviate B.V.
Initial release20132015200820162019
Current release1.19, May 2023
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaGo
Server operating systemshostedLinuxhostedLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes, 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.yesnononono
Secondary indexesyesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLwith Databricks SQLyesSQL-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
ADO.NET
JDBC
ODBC
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
All languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Proceduresusing Google App Engineno
TriggersnoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersMulti-source replication using Paxosyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 integrityyesyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess 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
DatabricksEsgynDBGoogle 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...
» more
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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DatabricksEsgynDBGoogle Cloud DatastoreKyligence EnterpriseWeaviate
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