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DBMS > HarperDB vs. Heroic vs. Microsoft Azure Synapse Analytics vs. OpenQM vs. Postgres-XL

System Properties Comparison HarperDB vs. Heroic vs. Microsoft Azure Synapse Analytics vs. OpenQM vs. Postgres-XL

Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Time 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 ServerQpenQM is a high-performance, self-tuning, multi-value DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument storeTime Series DBMSRelational DBMSMultivalue DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#243  Overall
#38  Document stores
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.28
Rank#291  Overall
#10  Multivalue DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Websitewww.harperdb.iogithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.postgres-xl.org
Technical documentationdocs.harperdb.io/­docsspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticswww.postgres-xl.org/­documentation
DeveloperHarperDBSpotifyMicrosoftRocket Software, originally Martin Phillips
Initial release20172014201619932014 infosince 2012, originally named StormDB
Current release3.1, August 20213.4-1210 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0commercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoMozilla public license
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 languageNode.jsJavaC++C
Server operating systemsLinux
OS X
hostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
macOS
Data schemedynamic schemaschema-freeyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyesyes
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.nononoyesyes infoXML type, but no XML query functionality
Secondary indexesyesyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLSQL-like data manipulation statementsnoyesnoyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
Java
PHP
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1noTransact SQLyesuser defined functions
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingSharding, horizontal partitioningyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and rolesyesAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
HarperDBHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenQM infoalso called QMPostgres-XL
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