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DBMS > Apache Druid vs. HarperDB vs. jBASE vs. Microsoft Azure SQL Database vs. Quasardb

System Properties Comparison Apache Druid vs. HarperDB vs. jBASE vs. Microsoft Azure SQL Database vs. Quasardb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHarperDB  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A robust multi-value DBMS comprising development tools and middlewareDatabase as a Service offering with high compatibility to Microsoft SQL ServerDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Document storeMultivalue DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitedruid.apache.orgwww.harperdb.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­en-us/­products/­azure-sql/­databasequasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.harperdb.io/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.microsoft.com/­en-us/­azure/­azure-sqldoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsHarperDBRocket Software (formerly Zumasys)Microsoftquasardb
Initial release20122017199120102009
Current release29.0.1, April 20243.1, August 20215.7V123.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree community edition availablecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaNode.jsC++C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
AIX
Linux
Windows
hostedBSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supporteddynamic schemaschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesoptionalyesyes infointeger and binary
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.nonoyesyesno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL for queryingSQL-like data manipulation statementsEmbedded SQL for jBASE in BASICyesSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.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
.Net
Basic
Jabbascript
Java
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yesTransact SQLno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedA table resides as a whole on one (or more) nodes in a clusterShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infothe nodes on which a table resides can be definedyesyes, with always 3 replicas availableSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and rolesAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
Apache DruidHarperDBjBASEMicrosoft Azure SQL Database infoformerly SQL AzureQuasardb
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