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DBMS > GeoSpock vs. Oracle Berkeley DB vs. Quasardb vs. TDSQL for MySQL vs. TimescaleDB

System Properties Comparison GeoSpock vs. Oracle Berkeley DB vs. Quasardb vs. TDSQL for MySQL vs. TimescaleDB

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonQuasardb  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTimescaleDB  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 scaleWidely used in-process key-value storeDistributed, high-performance timeseries databaseA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitegeospock.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlquasar.aiwww.tencentcloud.com/­products/­dcdbwww.timescale.com
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldoc.quasar.ai/­masterwww.tencentcloud.com/­document/­product/­1042docs.timescale.com
DeveloperGeoSpockOracle infooriginally developed by Sleepycat, which was acquired by OraclequasardbTencentTimescale
Initial release1994200920132017
Current release2.0, September 201918.1.40, May 20203.14.1, January 20242.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC, Java, C++ (depending on the Berkeley DB edition)C++C
Server operating systemshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
BSD
Linux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes infointeger and binaryyesnumerics, 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.noyes infoonly with the Berkeley DB XML editionnonoyes
Secondary indexestemporal, categoricalyesyes infowith tagsyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yes infoSQL interfaced based on SQLite is availableSQL-like query languageyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBCHTTP APIJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Java
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnononoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infoonly for the SQL APInoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneSharding infoconsistent hashingAutomatic shardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
Source-replica replication with hot standby and reads on replicas info
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 Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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 tablenoCryptographically strong user authentication and audit trailUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
GeoSpockOracle Berkeley DBQuasardbTDSQL for MySQLTimescaleDB
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