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DBMS > HBase vs. Immudb vs. InfinityDB vs. RocksDB vs. Splice Machine

System Properties Comparison HBase vs. Immudb vs. InfinityDB vs. RocksDB vs. Splice Machine

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonImmudb  Xexclude from comparisonInfinityDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A Java embedded Key-Value Store which extends the Java Map interfaceEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelWide column storeKey-value storeKey-value storeKey-value storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.24
Rank#305  Overall
#43  Key-value stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Score3.65
Rank#85  Overall
#11  Key-value stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitehbase.apache.orggithub.com/­codenotary/­immudb
immudb.io
boilerbay.comrocksdb.orgsplicemachine.com
Technical documentationhbase.apache.org/­book.htmldocs.immudb.ioboilerbay.com/­infinitydb/­manualgithub.com/­facebook/­rocksdb/­wikisplicemachine.com/­how-it-works
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetCodenotaryBoiler Bay Inc.Facebook, Inc.Splice Machine
Initial release20082020200220132014
Current release2.3.4, January 20211.2.3, April 20224.08.11.4, April 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0commercialOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaC++Java
Server operating systemsLinux
Unix
Windows infousing Cygwin
BSD
Linux
macOS
Solaris
Windows
z/OS
All OS with a Java VMLinuxLinux
OS X
Solaris
Windows
Data schemeschema-free, schema definition possibleschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysnoyes
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 indexesnoyesno infomanual creation possible, using inversions based on multi-value capabilitynoyes
SQL infoSupport of SQLnoSQL-like syntaxnonoyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
gRPC protocol
PostgreSQL wire protocol
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
C++ API
Java API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
JavaC
C++
Go
Java
Perl
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanononoyes infoJava
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilitynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.yesnonoyesyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
HBaseImmudbInfinityDBRocksDBSplice Machine
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