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DBMS > Apache Pinot vs. Drizzle vs. InfinityDB vs. Percona Server for MySQL vs. WakandaDB

System Properties Comparison Apache Pinot vs. Drizzle vs. InfinityDB vs. Percona Server for MySQL vs. WakandaDB

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDrizzle  Xexclude from comparisonInfinityDB  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonWakandaDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A Java embedded Key-Value Store which extends the Java Map interfaceEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score2.03
Rank#122  Overall
#57  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitepinot.apache.orgboilerbay.comwww.percona.com/­software/­mysql-database/­percona-serverwakanda.github.io
Technical documentationdocs.pinot.apache.orgboilerbay.com/­infinitydb/­manualwww.percona.com/­downloads/­Percona-Server-LATESTwakanda.github.io/­doc
DeveloperApache Software Foundation and contributorsDrizzle project, originally started by Brian AkerBoiler Bay Inc.PerconaWakanda SAS
Initial release20152008200220082012
Current release1.0.0, September 20237.2.4, September 20124.08.0.36-28, 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercialOpen Source infoGPL version 2Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC and C++C++, JavaScript
Server operating systemsAll OS with a Java JDK11 or higherFreeBSD
Linux
OS X
All OS with a Java VMLinuxLinux
OS X
Windows
Data schemeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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 indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsnoyesno
APIs and other access methodsJDBCJDBCAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
C
C++
Java
PHP
JavaAda
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript
Server-side scripts infoStored proceduresnonoyesyes
Triggersno infohooks for callbacks inside the server can be used.noyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
XtraDB Cluster
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoUsers with fine-grained authorization concept infono user groups or rolesyes

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More resources
Apache PinotDrizzleInfinityDBPercona Server for MySQLWakandaDB
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