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DBMS > GBase vs. Heroic vs. Informix vs. Microsoft Azure Synapse Analytics vs. QuestDB

System Properties Comparison GBase vs. Heroic vs. Informix vs. Microsoft Azure Synapse Analytics vs. QuestDB

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonHeroic  Xexclude from comparisonInformix  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataElastic, 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 DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score16.32
Rank#35  Overall
#21  Relational DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websitewww.gbase.cngithub.com/­spotify/­heroicwww.ibm.com/­products/­informixazure.microsoft.com/­services/­synapse-analyticsquestdb.io
Technical documentationspotify.github.io/­heroicinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.microsoft.com/­azure/­synapse-analyticsquestdb.io/­docs
DeveloperGeneral Data Technology Co., Ltd.SpotifyIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.MicrosoftQuestDB Technology Inc
Initial release20042014198420162014
Current releaseGBase 8a, GBase 8s, GBase 8c14.10.FC5, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree developer edition availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJavaC, C++ and JavaC++Java (Zero-GC), C++, Rust
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
macOS
Windows
Data schemeyesschema-freeyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyes infoSince Version 12.10 support for JSON/BSON datatypesyesyes
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.yesnonono
Secondary indexesyesyes infovia Elasticsearchyesyesno
SQL infoSupport of SQLStandard with numerous extensionsnoyesyesSQL with time-series extensions
APIs and other access methodsADO.NET
C API
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC#.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
PHP
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresuser defined functionsnoyesTransact SQLno
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingSharding, horizontal partitioninghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
yesSource-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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno 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 dataACIDnoACIDACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 controlyesUsers with fine-grained authentication, authorization, and auditing controlsyes
More information provided by the system vendor
GBaseHeroicInformixMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuestDB
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More resources
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