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DBMS > Apache Pinot vs. Bangdb vs. Blueflood vs. Spark SQL

System Properties Comparison Apache Pinot vs. Bangdb vs. Blueflood vs. Spark SQL

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBangdb  Xexclude from comparisonBlueflood  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyConverged and high performance database for device data, events, time series, document and graphScalable TimeSeries DBMS based on CassandraSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitepinot.apache.orgbangdb.comblueflood.iospark.apache.org/­sql
Technical documentationdocs.pinot.apache.orgdocs.bangdb.comgithub.com/­rax-maas/­blueflood/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation and contributorsSachin Sinha, BangDBRackspaceApache Software Foundation
Initial release2015201220132014
Current release1.0.0, September 2023BangDB 2.0, October 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD 3Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++JavaScala
Server operating systemsAll OS with a Java JDK11 or higherLinuxLinux
OS X
Linux
OS X
Windows
Data schemeyesschema-freepredefined schemeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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.nonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnono
SQL infoSupport of SQLSQL-like query languageSQL like support with command line toolnoSQL-like DML and DDL statements
APIs and other access methodsJDBCProprietary protocol
RESTful HTTP API
HTTP RESTJDBC
ODBC
Supported programming languagesGo
Java
Python
C
C#
C++
Java
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonono
Triggersyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infobased on Cassandrayes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenono
User concepts infoAccess controlyes (enterprise version only)nono

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More resources
Apache PinotBangdbBluefloodSpark SQL
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