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

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

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonInformix  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQuestDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionTime 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 dataA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelTime Series DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSTime Series DBMSGraph 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
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
Score0.08
Rank#345  Overall
#34  Graph DBMS
Websitegithub.com/­spotify/­heroicwww.ibm.com/­products/­informixazure.microsoft.com/­services/­synapse-analyticsquestdb.iotinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationspotify.github.io/­heroicinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.microsoft.com/­azure/­synapse-analyticsquestdb.io/­docs
DeveloperSpotifyIBM, 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 release20141984201620142009
Current release14.10.FC5, November 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree developer edition availablecommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and JavaC++Java (Zero-GC), C++, RustJava
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
macOS
Windows
Data schemeschema-freeyesyesyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesyesyesyes
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 Elasticsearchyesyesnono
SQL infoSupport of SQLnoyesyesSQL with time-series extensionsno
APIs and other access methodsHQL (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
TinkerPop 3
Supported programming languages.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
Groovy
Java
Server-side scripts infoStored proceduresnoyesTransact SQLnono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioninghorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yesSource-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infothrough memory mapped filesyes
User concepts infoAccess controlUsers with fine-grained authentication, authorization, and auditing controlsyesno
More information provided by the system vendor
HeroicInformixMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuestDBTinkerGraph
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More resources
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