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DBMS > BigchainDB vs. Databricks vs. Heroic vs. Netezza

System Properties Comparison BigchainDB vs. Databricks vs. Heroic vs. Netezza

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDatabricks  Xexclude from comparisonHeroic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchData warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument storeDocument store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitewww.bigchaindb.comwww.databricks.comgithub.com/­spotify/­heroicwww.ibm.com/­products/­netezza
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.databricks.comspotify.github.io/­heroic
DeveloperDatabricksSpotifyIBM
Initial release2016201320142000
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJava
Server operating systemsLinuxhostedLinux infoincluded in appliance
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or datenoyesyes
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.noyesno
Secondary indexesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLnowith Databricks SQLnoyes
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Python
R
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesUsers with fine-grained authorization concept
More information provided by the system vendor
BigchainDBDatabricksHeroicNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BigchainDBDatabricksHeroicNetezza infoAlso called PureData System for Analytics by IBM
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