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DBMS > Apache Pinot vs. NCache vs. ReductStore vs. Sqrrl

System Properties Comparison Apache Pinot vs. NCache vs. ReductStore vs. Sqrrl

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonNCache  Xexclude from comparisonReductStore  Xexclude from comparisonSqrrl  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 latencyOpen-Source and Enterprise in-memory Key-Value StoreDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSKey-value storeTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.91
Rank#196  Overall
#29  Key-value stores
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitepinot.apache.orgwww.alachisoft.com/­ncachegithub.com/­reductstore
www.reduct.store
sqrrl.com
Technical documentationdocs.pinot.apache.orgwww.alachisoft.com/­resources/­docswww.reduct.store/­docs
DeveloperApache Software Foundation and contributorsAlachisoftReductStore LLCAmazon infooriginally Sqrrl Data, Inc.
Initial release2015200520232012
Current release1.0.0, September 20235.3.3, April 20241.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoEnterprise Edition availableOpen Source infoBusiness Source License 1.1commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#, .NET, .NET Core, JavaC++, RustJava
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
Docker
Linux
macOS
Windows
Linux
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes
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
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.no
APIs and other access methodsJDBCIDistributedCache
JCache
LINQ
Proprietary native API
HTTP APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGo
Java
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C++
JavaScript (Node.js)
Python
Rust
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresno infosupport for stored procedures with SQL-Server CLRno
Triggersyes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with selectable consistency levelselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic locking and pessimistic lockingAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
Apache PinotNCacheReductStoreSqrrl
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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More resources
Apache PinotNCacheReductStoreSqrrl
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