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DBMS > Immudb vs. Oracle Berkeley DB vs. Sadas Engine vs. Splice Machine vs. Tkrzw

System Properties Comparison Immudb vs. Oracle Berkeley DB vs. Sadas Engine vs. Splice Machine vs. Tkrzw

Editorial information provided by DB-Engines
NameImmudb  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSplice Machine  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Widely used in-process key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#305  Overall
#43  Key-value stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegithub.com/­codenotary/­immudb
immudb.io
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.sadasengine.comsplicemachine.comdbmx.net/­tkrzw
Technical documentationdocs.immudb.iodocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsplicemachine.com/­how-it-works
DeveloperCodenotaryOracle infooriginally developed by Sleepycat, which was acquired by OracleSADAS s.r.l.Splice MachineMikio Hirabayashi
Initial release20201994200620142020
Current release1.2.3, April 202218.1.40, May 20208.03.1, March 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infocommercial license availablecommercial infofree trial version availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, C++ (depending on the Berkeley DB edition)C++JavaC++
Server operating systemsBSD
Linux
macOS
Solaris
Windows
z/OS
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
AIX
Linux
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.noyes infoonly with the Berkeley DB XML editionnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like syntaxyes infoSQL interfaced based on SQLite is availableyesyesno
APIs and other access methodsgRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
Proprietary protocol
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnononoyes infoJavano
Triggersnoyes infoonly for the SQL APInoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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 infomanaged by 'Learn by Usage'yesyes infousing specific database classes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
ImmudbOracle Berkeley DBSadas EngineSplice MachineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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