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DBMS > Apache Pinot vs. Microsoft Azure Synapse Analytics vs. QuestDB vs. Transwarp StellarDB

System Properties Comparison Apache Pinot vs. Microsoft Azure Synapse Analytics vs. QuestDB vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQuestDB  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA high performance open source SQL database for time series dataA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitepinot.apache.orgazure.microsoft.com/­services/­synapse-analyticsquestdb.iowww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.pinot.apache.orgdocs.microsoft.com/­azure/­synapse-analyticsquestdb.io/­docs
DeveloperApache Software Foundation and contributorsMicrosoftQuestDB Technology IncTranswarp
Initial release201520162014
Current release1.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java (Zero-GC), C++, Rust
Server operating systemsAll OS with a Java JDK11 or higherhostedLinux
macOS
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesno
SQL infoSupport of SQLSQL-like query languageyesSQL with time-series extensionsSQL-like query language
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
OpenCypher
Supported programming languagesGo
Java
Python
C#
Java
PHP
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresTransact SQLno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioninghorizontal partitioning (by timestamps)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno 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 dataACIDACID for single-table writes
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.yes infothrough memory mapped files
User concepts infoAccess controlyesyes
More information provided by the system vendor
Apache PinotMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuestDBTranswarp StellarDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache PinotMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuestDBTranswarp StellarDB
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