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DBMS > Databricks vs. Datomic vs. KairosDB vs. RavenDB

System Properties Comparison Databricks vs. Datomic vs. KairosDB vs. RavenDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonKairosDB  Xexclude from comparisonRavenDB  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDistributed Time Series DBMS based on Cassandra or H2Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series 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
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitewww.databricks.comwww.datomic.comgithub.com/­kairosdb/­kairosdbravendb.net
Technical documentationdocs.databricks.comdocs.datomic.comkairosdb.github.ioravendb.net/­docs
DeveloperDatabricksCognitectHibernating Rhinos
Initial release2013201220132010
Current release1.0.7075, December 20231.2.2, November 20185.4, July 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC#
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnonoSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIGraphite protocol
HTTP REST
Telnet API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesPython
R
Scala
Clojure
Java
Java
JavaScript infoNode.js
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsnoyes
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersselectable replication factor infobased on CassandraMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentno
User concepts infoAccess controlnosimple password-based access controlAuthorization levels configured per client per database
More information provided by the system vendor
DatabricksDatomicKairosDBRavenDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDatomicKairosDBRavenDB
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