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DBMS > Databend vs. etcd vs. Infobright vs. Microsoft Azure SQL Database vs. Splice Machine

System Properties Comparison Databend vs. etcd vs. Infobright vs. Microsoft Azure SQL Database vs. Splice Machine

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonetcd  Xexclude from comparisonInfobright  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA distributed reliable key-value storeHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendDatabase as a Service offering with high compatibility to Microsoft SQL ServerOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
etcd.io
github.com/­etcd-io/­etcd
ignitetech.com/­softwarelibrary/­infobrightdbazure.microsoft.com/­en-us/­products/­azure-sql/­databasesplicemachine.com
Technical documentationdocs.databend.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.microsoft.com/­en-us/­azure/­azure-sqlsplicemachine.com/­how-it-works
DeveloperDatabend LabsIgnite Technologies Inc.; formerly InfoBright Inc.MicrosoftSplice Machine
Initial release2021200520102014
Current release1.0.59, April 20233.4, August 2019V123.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustGoCC++Java
Server operating systemshosted
Linux
macOS
FreeBSD
Linux
Windows infoexperimental
Linux
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononoyes
Secondary indexesnonono infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLyesnoyesyesyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
gRPC
JSON over HTTP
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnononoTransact SQLyes infoJava
Triggersnoyes, watching key changesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationyes, with always 3 replicas availableMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesnofine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
DatabendetcdInfobrightMicrosoft Azure SQL Database infoformerly SQL AzureSplice Machine
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