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DBMS > Apache Pinot vs. LevelDB vs. SQream DB vs. Sqrrl vs. Tkrzw

System Properties Comparison Apache Pinot vs. LevelDB vs. SQream DB vs. Sqrrl vs. Tkrzw

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonLevelDB  Xexclude from comparisonSQream DB  Xexclude from comparisonSqrrl  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesa GPU-based, columnar RDBMS for big data analytics workloadsAdaptable, secure NoSQL built on Apache AccumuloA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSKey-value storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitepinot.apache.orggithub.com/­google/­leveldbsqream.comsqrrl.comdbmx.net/­tkrzw
Technical documentationdocs.pinot.apache.orggithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.sqream.com
DeveloperApache Software Foundation and contributorsGoogleSQream TechnologiesAmazon infooriginally Sqrrl Data, Inc.Mikio Hirabayashi
Initial release20152011201720122020
Current release1.0.0, September 20231.23, February 20212022.1.6, December 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSDcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, CUDA, Haskell, Java, ScalaJavaC++
Server operating systemsAll OS with a Java JDK11 or higherIllumos
Linux
OS X
Windows
LinuxLinuxLinux
macOS
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes, ANSI Standard SQL Typesyesno
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.nono
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like query languagenoyesnono
APIs and other access methodsJDBC.Net
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGo
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions in Pythonnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonehorizontal and vertical partitioningSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneselectable replication factor infomaking use of Hadoopnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing specific database classes
User concepts infoAccess controlnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)no

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More resources
Apache PinotLevelDBSQream DBSqrrlTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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