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DBMS > HarperDB vs. Hawkular Metrics vs. HBase vs. Microsoft Access vs. Warp 10

System Properties Comparison HarperDB vs. Hawkular Metrics vs. HBase vs. Microsoft Access vs. Warp 10

Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Access  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 BigTableMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeTime Series DBMSWide column storeRelational DBMSTime Series DBMS
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
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.harperdb.iowww.hawkular.orghbase.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.warp10.io
Technical documentationdocs.harperdb.io/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidehbase.apache.org/­book.htmldeveloper.microsoft.com/­en-us/­accesswww.warp10.io/­content/­02_Getting_started
DeveloperHarperDBCommunity supported by Red HatApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftSenX
Initial release20172014200819922015
Current release3.1, August 20212.3.4, January 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0Open Source infoApache version 2commercial infoBundled with Microsoft OfficeOpen 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.jsJavaJavaC++Java
Server operating systemsLinux
OS X
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Windows infoNot a real database server, but making use of DLLsLinux
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.nononono
Secondary indexesyesnonoyesno
SQL infoSupport of SQLSQL-like data manipulation statementsnonoyes infobut not compliant to any SQL standardno
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP RESTJava API
RESTful HTTP API
Thrift
ADO.NET
DAO
ODBC
OLE DB
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
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1noyes infoCoprocessors in Javayes infosince Access 2010 using the ACE-engineyes infoWarpScript
Triggersnoyes infovia Hawkular Alertingyesyes infosince Access 2010 using the ACE-engineno
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 CassandraShardingnoneSharding 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
noneselectable 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 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)ACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno infoa simple user-level security was built in till version Access 2003Mandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
HarperDBHawkular MetricsHBaseMicrosoft AccessWarp 10
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