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DBMS > GeoSpock vs. Heroic vs. Microsoft Azure Synapse Analytics vs. QuestDB

System Properties Comparison GeoSpock vs. Heroic vs. Microsoft Azure Synapse Analytics vs. QuestDB

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQuestDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, 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 modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Websitegeospock.comgithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticsquestdb.io
Technical documentationspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticsquestdb.io/­docs
DeveloperGeoSpockSpotifyMicrosoftQuestDB Technology Inc
Initial release201420162014
Current release2.0, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaC++Java (Zero-GC), C++, Rust
Server operating systemshostedhostedLinux
macOS
Windows
Data schemeyesschema-freeyesyes 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 indexestemporal, categoricalyes infovia Elasticsearchyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)noyesSQL with time-series extensions
APIs and other access methodsJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC#
Java
PHP
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnonoTransact SQLno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding, horizontal partitioninghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate 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 datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users can be defined per tableyes
More information provided by the system vendor
GeoSpockHeroicMicrosoft 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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More resources
GeoSpockHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuestDB
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