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DBMS > GeoSpock vs. HarperDB vs. Quasardb vs. TimescaleDB vs. YDB

System Properties Comparison GeoSpock vs. HarperDB vs. Quasardb vs. TimescaleDB vs. YDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHarperDB  Xexclude from comparisonQuasardb  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleUltra-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.Distributed, high-performance timeseries databaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSDocument storeTime Series DBMSTime Series DBMSDocument store
Relational DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#244  Overall
#38  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitegeospock.comwww.harperdb.ioquasar.aiwww.timescale.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.harperdb.io/­docsdoc.quasar.ai/­masterdocs.timescale.comydb.tech/­en/­docs
DeveloperGeoSpockHarperDBquasardbTimescaleYandex
Initial release2017200920172019
Current release2.0, September 20193.1, August 20213.14.1, January 20242.15.0, May 2024
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptNode.jsC++C
Server operating systemshostedLinux
OS X
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeyesdynamic schemaschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes infointeger and binarynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.nononoyesno
Secondary indexestemporal, categoricalyesyes infowith tagsyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like data manipulation statementsSQL-like query languageyes infofull PostgreSQL SQL syntaxSQL-like query language (YQL)
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API (DynamoDB compatible)
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#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1nouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingA table resides as a whole on one (or more) nodes in a clusterSharding infoconsistent hashingyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedSource-replica replication with selectable replication factorSource-replica replication with hot standby and reads on replicas infoActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 LMDByes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modenono
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users and rolesCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
GeoSpockHarperDBQuasardbTimescaleDBYDB
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