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DBMS > Databricks vs. Immudb vs. Percona Server for MongoDB vs. Quasardb

System Properties Comparison Databricks vs. Immudb vs. Percona Server for MongoDB vs. Quasardb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonImmudb  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonQuasardb  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.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Distributed, high-performance timeseries database
Primary database modelDocument store
Relational DBMS
Key-value storeDocument storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score0.52
Rank#254  Overall
#39  Document stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.databricks.comgithub.com/­codenotary/­immudb
immudb.io
www.percona.com/­mongodb/­software/­percona-server-for-mongodbquasar.ai
Technical documentationdocs.databricks.comdocs.immudb.iodocs.percona.com/­percona-distribution-for-mongodbdoc.quasar.ai/­master
DeveloperDatabricksCodenotaryPerconaquasardb
Initial release2013202020152009
Current release1.2.3, April 20223.4.10-2.10, November 20173.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++
Server operating systemshostedBSD
Linux
macOS
Solaris
Windows
z/OS
LinuxBSD
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infointeger and binary
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 indexesyesyesyesyes infowith tags
SQL infoSupport of SQLwith Databricks SQLSQL-like syntaxnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC protocol
PostgreSQL wire protocol
proprietary protocol using JSONHTTP API
Supported programming languagesPython
R
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJavaScriptno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infovia In-Memory Engineyes infoTransient mode
User concepts infoAccess controlAccess rights for users and rolesCryptographically strong user authentication and audit trail
More information provided by the system vendor
DatabricksImmudbPercona Server for MongoDBQuasardb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksImmudbPercona Server for MongoDBQuasardb
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