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DBMS > Databricks vs. Dolt vs. etcd vs. mSQL vs. Sphinx

System Properties Comparison Databricks vs. Dolt vs. etcd vs. mSQL vs. Sphinx

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDolt  Xexclude from comparisonetcd  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  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.A MySQL compatible DBMS with Git-like versioning of data and schemaA distributed reliable key-value storemSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeRelational DBMSSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.databricks.comgithub.com/­dolthub/­dolt
www.dolthub.com
etcd.io
github.com/­etcd-io/­etcd
hughestech.com.au/­products/­msqlsphinxsearch.com
Technical documentationdocs.databricks.comdocs.dolthub.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
sphinxsearch.com/­docs
DeveloperDatabricksDoltHub IncHughes TechnologiesSphinx Technologies Inc.
Initial release2013201819942001
Current release3.4, August 20194.4, October 20213.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGoCC++
Server operating systemshostedLinux
macOS
Windows
FreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesno
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 indexesyesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLwith Databricks SQLyesnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
HTTP REST
gRPC
JSON over HTTP
JDBC
ODBC
Proprietary protocol
Supported programming languagesPython
R
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C++
Delphi
Java
Perl
PHP
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infocurrently in alpha releasenonono
Triggersyesyes, watching key changesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupnonono
More information provided by the system vendor
DatabricksDoltetcdmSQL infoMini SQLSphinx
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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