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DBMS > HarperDB vs. Microsoft Azure Table Storage vs. Newts vs. TimescaleDB

System Properties Comparison HarperDB vs. Microsoft Azure Table Storage vs. Newts vs. TimescaleDB

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNewts  Xexclude from comparisonTimescaleDB  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.A Wide Column Store for rapid development using massive semi-structured datasetsTime Series DBMS based on CassandraA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument storeWide column storeTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.harperdb.ioazure.microsoft.com/­en-us/­services/­storage/­tablesopennms.github.io/­newtswww.timescale.com
Technical documentationdocs.harperdb.io/­docsgithub.com/­OpenNMS/­newts/­wikidocs.timescale.com
DeveloperHarperDBMicrosoftOpenNMS GroupTimescale
Initial release2017201220142017
Current release3.1, August 20212.13.0, November 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsJavaC
Server operating systemsLinux
OS X
hostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemedynamic schemaschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL-like data manipulation statementsnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP APIHTTP REST
Java API
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
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1nonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterSharding infoImplicit feature of the cloud serviceSharding infobased on Cassandrayes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infobased on CassandraSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess rights for users and rolesAccess rights based on private key authentication or shared access signaturesnofine grained access rights according to SQL-standard

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More resources
HarperDBMicrosoft Azure Table StorageNewtsTimescaleDB
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