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DBMS > Immudb vs. Qdrant vs. Spark SQL vs. Transbase

System Properties Comparison Immudb vs. Qdrant vs. Spark SQL vs. Transbase

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Editorial information provided by DB-Engines
NameImmudb  Xexclude from comparisonQdrant  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A high-performance vector database with neural network or semantic-based matchingSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelKey-value storeVector DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#295  Overall
#42  Key-value stores
Score1.28
Rank#167  Overall
#7  Vector DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitegithub.com/­codenotary/­immudb
immudb.io
github.com/­qdrant/­qdrant
qdrant.tech
spark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.immudb.ioqdrant.tech/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperCodenotaryQdrantApache Software FoundationTransaction Software GmbH
Initial release2020202120141987
Current release1.2.3, April 20223.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoRustScalaC and C++
Server operating systemsBSD
Linux
macOS
Solaris
Windows
z/OS
Docker
Linux
macOS
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateNumbers, Strings, Geo, Booleanyesyes
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 indexesyesyes infoKeywords, numberic ranges, geo, full-textnoyes
SQL infoSupport of SQLSQL-like syntaxnoSQL-like DML and DDL statementsyes
APIs and other access methodsgRPC protocol
PostgreSQL wire protocol
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes
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 controlKey-based authenticationnofine grained access rights according to SQL-standard

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More resources
ImmudbQdrantSpark SQLTransbase
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