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DBMS > BigchainDB vs. Databricks vs. GBase vs. Google Cloud Bigtable vs. TimesTen

System Properties Comparison BigchainDB vs. Databricks vs. GBase vs. Google Cloud Bigtable vs. TimesTen

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDatabricks  Xexclude from comparisonGBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonTimesTen  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.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.In-Memory RDBMS compatible to Oracle
Primary database modelDocument storeDocument store
Relational DBMS
Relational DBMSKey-value store
Wide column store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitewww.bigchaindb.comwww.databricks.comwww.gbase.cncloud.google.com/­bigtablewww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.databricks.comcloud.google.com/­bigtable/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperDatabricksGeneral Data Technology Co., Ltd.GoogleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20162013200420151998
Current releaseGBase 8a, GBase 8s, GBase 8c11 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC, Java, Python
Server operating systemsLinuxhostedLinuxhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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.noyesyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnowith Databricks SQLStandard with numerous extensionsnoyes
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Python
R
Scala
C#C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsnoPL/SQL
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlyesyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard
More information provided by the system vendor
BigchainDBDatabricksGBaseGoogle Cloud BigtableTimesTen
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
BigchainDBDatabricksGBaseGoogle Cloud BigtableTimesTen
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