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DBMS > EJDB vs. HBase vs. Immudb vs. InfinityDB vs. IRONdb

System Properties Comparison EJDB vs. HBase vs. Immudb vs. InfinityDB vs. IRONdb

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonHBase  Xexclude from comparisonImmudb  Xexclude from comparisonInfinityDB  Xexclude from comparisonIRONdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Wide-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 interfaceA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelDocument storeWide column storeKey-value storeKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
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
Websitegithub.com/­Softmotions/­ejdbhbase.apache.orggithub.com/­codenotary/­immudb
immudb.io
boilerbay.comwww.circonus.com/solutions/time-series-database/
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdhbase.apache.org/­book.htmldocs.immudb.ioboilerbay.com/­infinitydb/­manualdocs.circonus.com/irondb/category/getting-started
DeveloperSoftmotionsApache Software Foundation infoApache top-level project, originally developed by PowersetCodenotaryBoiler Bay Inc.Circonus LLC.
Initial release20122008202020022017
Current release2.3.4, January 20211.2.3, April 20224.0V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache version 2Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaGoJavaC and C++
Server operating systemsserver-lessLinux
Unix
Windows infousing Cygwin
BSD
Linux
macOS
Solaris
Windows
z/OS
All OS with a Java VMLinux
Data schemeschema-freeschema-free, schema definition possibleschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idoptions to bring your own types, AVROyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes infotext, numeric, histograms
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 indexesnonoyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLnonoSQL-like syntaxnoSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsin-process shared libraryJava 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)
HTTP API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javanonoyes, in Lua
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
noneconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
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.yesnonono
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnono

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More resources
EJDBHBaseImmudbInfinityDBIRONdb
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