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DBMS > Badger vs. Datomic vs. Ingres vs. IRONdb vs. RocksDB

System Properties Comparison Badger vs. Datomic vs. Ingres vs. IRONdb vs. RocksDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatomic  Xexclude from comparisonIngres  Xexclude from comparisonIRONdb  Xexclude from comparisonRocksDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityWell established RDBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitegithub.com/­dgraph-io/­badgerwww.datomic.comwww.actian.com/­databases/­ingreswww.circonus.com/solutions/time-series-database/rocksdb.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.datomic.comdocs.actian.com/­ingresdocs.circonus.com/irondb/category/getting-startedgithub.com/­facebook/­rocksdb/­wiki
DeveloperDGraph LabsCognitectActian CorporationCirconus LLC.Facebook, Inc.
Initial release201720121974 infooriginally developed at University Berkely in early 1970s20172013
Current release1.0.7180, July 202412.0, July 2024V0.10.20, January 20189.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercialcommercialOpen Source infoBSD
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 languageGoJava, ClojureCC and C++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxLinux
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyes infotext, numeric, histogramsno
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.nonono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesnoyesyesnono
SQL infoSupport of SQLnonoyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP APIC++ API
Java API
Supported programming languagesGoClojure
Java
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyesyes, in Luano
TriggersnoBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peershorizontal partitioning infoIngres Star to access multiple databases simultaneouslyAutomatic, metric affinity per nodehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersIngres Replicatorconfigurable replication factor, datacenter awareyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentnonoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardnono

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More resources
BadgerDatomicIngresIRONdbRocksDB
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