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DBMS > Apache Pinot vs. atoti vs. BigchainDB

System Properties Comparison Apache Pinot vs. atoti vs. BigchainDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonatoti  Xexclude from comparisonBigchainDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.BigchainDB is scalable blockchain database offering decentralization, immutability and native assets
Primary database modelRelational DBMSObject oriented DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score0.76
Rank#216  Overall
#36  Document stores
Websitepinot.apache.orgatoti.iowww.bigchaindb.com
Technical documentationdocs.pinot.apache.orgdocs.atoti.iobigchaindb.readthedocs.io/­en/­latest
DeveloperApache Software Foundation and contributorsActiveViam
Initial release20152016
Current release1.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availableOpen Source infoAGPL v3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaPython
Server operating systemsAll OS with a Java JDK11 or higherLinux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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.no
SQL infoSupport of SQLSQL-like query languageMultidimensional Expressions (MDX)no
APIs and other access methodsJDBCCLI Client
RESTful HTTP API
Supported programming languagesGo
Java
Python
Go
Haskell
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresPython
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integrityno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyes

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More resources
Apache PinotatotiBigchainDB
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