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DBMS > Apache Pinot vs. IRONdb vs. Microsoft Azure Synapse Analytics vs. NCache

System Properties Comparison Apache Pinot vs. IRONdb vs. Microsoft Azure Synapse Analytics vs. NCache

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNCache  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Websitepinot.apache.orgwww.circonus.com/solutions/time-series-database/azure.microsoft.com/­services/­synapse-analyticswww.alachisoft.com/­ncache
Technical documentationdocs.pinot.apache.orgdocs.circonus.com/irondb/category/getting-starteddocs.microsoft.com/­azure/­synapse-analyticswww.alachisoft.com/­resources/­docs
DeveloperApache Software Foundation and contributorsCirconus LLC.MicrosoftAlachisoft
Initial release2015201720162005
Current release1.0.0, September 2023V0.10.20, January 20185.3.3, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++C#, .NET, .NET Core, Java
Server operating systemsAll OS with a Java JDK11 or higherLinuxhostedLinux
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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 indexesnoyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)yesSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsJDBCHTTP APIADO.NET
JDBC
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesGo
Java
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
PHP
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyes, in LuaTransact SQLno infosupport for stored procedures with SQL-Server CLR
Triggersnonoyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic, metric affinity per nodeSharding, horizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyesyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking and pessimistic locking
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.noyes
User concepts infoAccess controlnoyesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
Apache PinotIRONdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNCache
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 PinotIRONdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNCache
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