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

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

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGigaSpaces  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 latencyHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA 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 Server
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitepinot.apache.orgwww.gigaspaces.comwww.circonus.com/solutions/time-series-database/azure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.pinot.apache.orgdocs.gigaspaces.com/­latest/­landing.htmldocs.circonus.com/irondb/category/getting-starteddocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation and contributorsGigaspaces TechnologiesCirconus LLC.Microsoft
Initial release2015200020172016
Current release1.0.0, September 202315.5, September 2020V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC and C++C++
Server operating systemsAll OS with a Java JDK11 or higherLinux
macOS
Solaris
Windows
Linuxhosted
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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 infoXML can be used for describing objects metadatanono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query languageSQL-99 for query and DML statementsSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
Python
.Net
C++
Java
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresyesyes, in LuaTransact SQL
Triggersyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingAutomatic, metric affinity per nodeSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
configurable replication factor, datacenter awareyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
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.yesno
User concepts infoAccess controlRole-based access controlnoyes

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More resources
Apache PinotGigaSpacesIRONdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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