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DBMS > BigchainDB vs. Heroic vs. Ignite vs. TimesTen vs. XTDB

System Properties Comparison BigchainDB vs. Heroic vs. Ignite vs. TimesTen vs. XTDB

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonHeroic  Xexclude from comparisonIgnite  Xexclude from comparisonTimesTen  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.In-Memory RDBMS compatible to OracleA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument storeTime Series DBMSKey-value store
Relational DBMS
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.bigchaindb.comgithub.com/­spotify/­heroicignite.apache.orgwww.oracle.com/­database/­technologies/­related/­timesten.htmlgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestspotify.github.io/­heroicapacheignite.readme.io/­docsdocs.oracle.com/­database/­timesten-18.1www.xtdb.com/­docs
DeveloperSpotifyApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Juxt Ltd.
Initial release20162014201519982019
Current releaseApache Ignite 2.611 Release 2 (11.2.2.8.0)1.19, September 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaC++, Java, .NetClojure
Server operating systemsLinuxLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes, extensible-data-notation format
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 indexesyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLyeslimited SQL, making use of Apache Calcite
APIs and other access methodsCLI Client
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP REST
JDBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
PL/SQL
Clojure
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)PL/SQLno
Triggersnoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes (replicated cache)Multi-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infoby means of logfiles and checkpointsyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
BigchainDBHeroicIgniteTimesTenXTDB infoformerly named Crux
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