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DBMS > Badger vs. BigchainDB vs. HEAVY.AI vs. IRONdb vs. Titan

System Properties Comparison Badger vs. BigchainDB vs. HEAVY.AI vs. IRONdb vs. Titan

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIRONdb  Xexclude from comparisonTitan  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelKey-value storeDocument storeRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#325  Overall
#49  Key-value stores
Score0.82
Rank#212  Overall
#36  Document stores
Score2.10
Rank#126  Overall
#61  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.circonus.com/solutions/time-series-database/github.com/­thinkaurelius/­titan
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestdocs.heavy.aidocs.circonus.com/irondb/category/getting-startedgithub.com/­thinkaurelius/­titan/­wiki
DeveloperDGraph LabsHEAVY.AI, Inc.Circonus LLC.Aurelius, owned by DataStax
Initial release20172016201620172012
Current release5.10, January 2022V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3Open Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoApache license, 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 languageGoPythonC++ and CUDAC and C++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinuxLinuxLinux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenonoyesyes infotext, numeric, histogramsyes
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 indexesnononoyes
SQL infoSupport of SQLnonoyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresnonoyes, in Luayes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoRound robinAutomatic, metric affinity per nodeyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-source replicationconfigurable replication factor, datacenter awareyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoyesfine grained access rights according to SQL-standardnoUser authentification and security via Rexster Graph Server

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More resources
BadgerBigchainDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IRONdbTitan
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