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DBMS > Apache Pinot vs. OpenEdge vs. Spark SQL vs. WakandaDB

System Properties Comparison Apache Pinot vs. OpenEdge vs. Spark SQL vs. WakandaDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonOpenEdge  Xexclude from comparisonSpark SQL  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyApplication development environment with integrated database management systemSpark SQL is a component on top of 'Spark Core' for structured data processingWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitepinot.apache.orgwww.progress.com/­openedgespark.apache.org/­sqlwakanda.github.io
Technical documentationdocs.pinot.apache.orgdocumentation.progress.com/­output/­ua/­OpenEdge_latestspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwakanda.github.io/­doc
DeveloperApache Software Foundation and contributorsProgress Software CorporationApache Software FoundationWakanda SAS
Initial release2015198420142012
Current release1.0.0, September 2023OpenEdge 12.2, March 20203.5.0 ( 2.13), September 20232.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC++, JavaScript
Server operating systemsAll OS with a Java JDK11 or higherAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like query languageyes infoclose to SQL 92SQL-like DML and DDL statementsno
APIs and other access methodsJDBCJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
Progress proprietary ABL (Advanced Business Language)Java
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresyesnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning infosince Version 11.4yes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlUsers and groupsnoyes

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Apache PinotOpenEdgeSpark SQLWakandaDB
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