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DBMS > Databricks vs. Hive vs. Prometheus vs. Riak KV vs. XTDB

System Properties Comparison Databricks vs. Hive vs. Prometheus vs. Riak KV vs. XTDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHive  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak KV  Xexclude from comparisonXTDB infoformerly named Crux  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.data warehouse software for querying and managing large distributed datasets, built on HadoopOpen-source Time Series DBMS and monitoring systemDistributed, fault tolerant key-value storeA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.databricks.comhive.apache.orgprometheus.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.databricks.comcwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.xtdb.com/­docs
DeveloperDatabricksApache Software Foundation infoinitially developed by FacebookOpenSource, formerly Basho TechnologiesJuxt Ltd.
Initial release20132012201520092019
Current release3.1.3, April 20223.2.0, December 20221.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoErlangClojure
Server operating systemshostedAll OS with a Java VMLinux
Windows
Linux
OS X
All OS with a Java 8 (and higher) VM
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlynoyes, extensible-data-notation format
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.yesno infoImport of XML data possiblenono
Secondary indexesyesyesnorestrictedyes
SQL infoSupport of SQLwith Databricks SQLSQL-like DML and DDL statementsnonolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
HTTP REST
JDBC
Supported programming languagesPython
R
Scala
C++
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infouser defined functions and integration of map-reducenoErlangno
Triggersnonoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes infoby Federationselectable replication factoryes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users, groups and rolesnoyes, using Riak Security
More information provided by the system vendor
DatabricksHivePrometheusRiak KVXTDB infoformerly named Crux
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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