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DBMS > BigchainDB vs. Graph Engine vs. Ignite vs. TDengine vs. TinkerGraph

System Properties Comparison BigchainDB vs. Graph Engine vs. Ignite vs. TDengine vs. TinkerGraph

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonIgnite  Xexclude from comparisonTDengine  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Time Series DBMS and big data platformA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument storeGraph DBMS
Key-value store
Key-value store
Relational DBMS
Time Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.bigchaindb.comwww.graphengine.ioignite.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
tinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.graphengine.io/­docs/­manualapacheignite.readme.io/­docsdocs.tdengine.com
DeveloperMicrosoftApache Software FoundationTDEngine, previously Taos Data
Initial release20162010201520192009
Current releaseApache Ignite 2.63.0, August 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions availableOpen Source infoApache 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 languagePython.NET and CC++, Java, .NetCJava
Server operating systemsLinux.NETLinux
OS X
Solaris
Windows
Linux
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonoyesnono
Secondary indexesyesnono
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLStandard SQL with extensions for time-series applicationsno
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
RESTful HTTP API
TinkerPop 3
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
F#
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Groovy
Java
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)nono
Triggersnoyes (cache interceptors and events)yes, via alarm monitoringno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynonononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDBoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesSecurity Hooks for custom implementationsyesno
More information provided by the system vendor
BigchainDBGraph Engine infoformer name: TrinityIgniteTDengineTinkerGraph
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
BigchainDBGraph Engine infoformer name: TrinityIgniteTDengineTinkerGraph
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