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DBMS > HarperDB vs. Hawkular Metrics vs. HBase vs. PostgreSQL vs. Warp 10

System Properties Comparison HarperDB vs. Hawkular Metrics vs. HBase vs. PostgreSQL vs. Warp 10

Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonPostgreSQL  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionUltra-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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Wide-column store based on Apache Hadoop and on concepts of BigTableWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeTime Series DBMSWide column storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#244  Overall
#38  Document stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.harperdb.iowww.hawkular.orghbase.apache.orgwww.postgresql.orgwww.warp10.io
Technical documentationdocs.harperdb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.htmlwww.postgresql.org/­docswww.warp10.io/­content/­02_Getting_started
DeveloperHarperDBCommunity supported by Red HatApache Software Foundation infoApache top-level project, originally developed by PowersetPostgreSQL Global Development Group infowww.postgresql.org/­developerSenX
Initial release2017201420081989 info1989: Postgres, 1996: PostgreSQL2015
Current release3.1, August 20212.3.4, January 202116.3, May 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoBSDOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsJavaJavaCJava
Server operating systemsLinux
OS X
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemedynamic schemaschema-freeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyes infoJSON data typesyesoptions to bring your own types, AVROyesyes
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.nononoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnonoyesno
SQL infoSupport of SQLSQL-like data manipulation statementsnonoyes infostandard with numerous extensionsno
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP RESTJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Jupyter
WebSocket
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
Go
Java
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1noyes infoCoprocessors in Javauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoWarpScript
Triggersnoyes infovia Hawkular Alertingyesyesno
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterSharding infobased on CassandraShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoSingle row ACID (across millions of columns)ACIDno
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.yesnoyesnoyes
User concepts infoAccess controlAccess rights for users and rolesnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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HarperDBHawkular MetricsHBasePostgreSQLWarp 10
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