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DBMS > FatDB vs. Immudb vs. JanusGraph vs. Oracle vs. SAP HANA

System Properties Comparison FatDB vs. Immudb vs. JanusGraph vs. Oracle vs. SAP HANA

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonImmudb  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonOracle  Xexclude from comparisonSAP HANA  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Widely used RDBMSIn-memory, column based data store. Available as appliance or cloud service
Primary database modelDocument store
Key-value store
Key-value storeGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#305  Overall
#44  Key-value stores
Score2.04
Rank#135  Overall
#11  Graph DBMS
Score1221.06
Rank#1  Overall
#1  Relational DBMS
Score45.49
Rank#22  Overall
#16  Relational DBMS
Websitegithub.com/­codenotary/­immudb
immudb.io
janusgraph.orgwww.oracle.com/­databasewww.sap.com/­products/­hana.html
Technical documentationdocs.immudb.iodocs.janusgraph.orgdocs.oracle.com/­en/­databasehelp.sap.com/­hana
DeveloperFatCloudCodenotaryLinux Foundation; originally developed as Titan by AureliusOracleSAP
Initial release20122020201719802010
Current release1.2.3, April 20220.6.3, February 202323c, September 20232.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#GoJavaC and C++
Server operating systemsWindowsBSD
Linux
macOS
Solaris
Windows
z/OS
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Appliance or cloud-service
Data schemeschema-freeschema-freeyesyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like syntaxnoyes infowith proprietary extensionsyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC protocol
PostgreSQL wire protocol
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languagesC#.Net
Go
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresyes infovia applicationsnoyesPL/SQL infoalso stored procedures in Java possibleSQLScript, R
Triggersyes infovia applicationsnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding, horizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia Faunus, a graph analytics engineno infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardyes

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More resources
FatDBImmudbJanusGraph infosuccessor of TitanOracleSAP HANA
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