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DBMS > Heroic vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics vs. QuestDB

System Properties Comparison Heroic vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics vs. QuestDB

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDistributed Event Store optimized for Internet of Things use casesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA high performance open source SQL database for time series data
Primary database modelTime Series DBMSEvent Store
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Websitegithub.com/­spotify/­heroicwww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­services/­synapse-analyticsquestdb.io
Technical documentationspotify.github.io/­heroicwww.ibm.com/­docs/­en/­db2-event-storedocs.microsoft.com/­azure/­synapse-analyticsquestdb.io/­docs
DeveloperSpotifyIBMMicrosoftQuestDB Technology Inc
Initial release2014201720162014
Current release2.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree developer edition availablecommercialOpen Source infoApache 2.0
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++Java (Zero-GC), C++, Rust
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionhostedLinux
macOS
Windows
Data schemeschema-freeyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyes infovia Elasticsearchnoyesno
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyesSQL with time-series extensions
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
Java
PHP
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoyesTransact SQLno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioninghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replicationyesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono 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 datanonoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardyes
More information provided by the system vendor
HeroicIBM Db2 Event StoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuestDB
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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