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DBMS > Databricks vs. Immudb vs. Kyligence Enterprise

System Properties Comparison Databricks vs. Immudb vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonImmudb  Xexclude from comparisonKyligence Enterprise  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.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score90.03
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score0.37
Rank#265  Overall
#39  Key-value stores
Score0.33
Rank#276  Overall
#126  Relational DBMS
Websitewww.databricks.comgithub.com/­codenotary/­immudb
immudb.io
kyligence.io/­kyligence-enterprise
Technical documentationdocs.databricks.comdocs.immudb.io
DeveloperDatabricksCodenotaryKyligence, Inc.
Initial release201320202016
Current release1.2.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava
Server operating systemshostedBSD
Linux
macOS
Solaris
Windows
z/OS
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyes
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.yesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like syntaxANSI SQL for queries (using Apache Calcite)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
More information provided by the system vendor
DatabricksImmudbKyligence Enterprise
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksImmudbKyligence Enterprise
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