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DBMS > Immudb vs. OpenMLDB vs. Sequoiadb vs. Spark SQL

System Properties Comparison Immudb vs. OpenMLDB vs. Sequoiadb vs. Spark SQL

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Editorial information provided by DB-Engines
NameImmudb  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.An open-source machine learning database that provides a feature platform for training and inferenceNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeTime Series DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#295  Overall
#42  Key-value stores
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­codenotary/­immudb
immudb.io
openmldb.aiwww.sequoiadb.comspark.apache.org/­sql
Technical documentationdocs.immudb.ioopenmldb.ai/­docs/­zh/­mainwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCodenotary4 Paradigm Inc.Sequoiadb Ltd.Apache Software Foundation
Initial release2020202020132014
Current release1.2.3, April 20222024-2 February 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, Java, ScalaC++Scala
Server operating systemsBSD
Linux
macOS
Solaris
Windows
z/OS
LinuxLinuxLinux
OS X
Windows
Data schemeschema-freeFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyes infooid, date, timestamp, binary, regexyes
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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like syntaxyesSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsgRPC protocol
PostgreSQL wire protocol
JDBC
SQLAlchemy
proprietary protocol using JSONJDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
C++
Go
Java
Python
Scala
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoJavaScriptno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlno

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More resources
ImmudbOpenMLDBSequoiadbSpark SQL
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