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DBMS > Cloudflare Workers KV vs. GBase vs. GeoSpock vs. Vertica

System Properties Comparison Cloudflare Workers KV vs. GBase vs. GeoSpock vs. Vertica

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonGBase  Xexclude from comparisonGeoSpock  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Spatial and temporal data processing engine for extreme data scaleCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsTime Series DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#283  Overall
#40  Key-value stores
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score9.62
Rank#42  Overall
#26  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvwww.gbase.cngeospock.comwww.vertica.com
Technical documentationdevelopers.cloudflare.com/­kv/­apivertica.com/­documentation
DeveloperCloudflareGeneral Data Technology Co., Ltd.GeoSpockOpenText infopreviously Micro Focus and Hewlett Packard
Initial release201820042005
Current releaseGBase 8a, GBase 8s, GBase 8c2.0, September 201912.0.3, January 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnoyesno infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, PythonJava, JavascriptC++
Server operating systemshostedLinuxhostedLinux
Data schemeschema-freeyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or datenoyesyesyes
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.noyesnono
Secondary indexesnoyestemporal, categoricalNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoStandard with numerous extensionsANSI SQL for query only (using Presto)Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsHTTP REST
Proprietary protocol
ADO.NET
C API
JDBC
ODBC
JDBCADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnouser defined functionsnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningAutomatic shardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlyesAccess rights for users can be defined per tablefine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
Cloudflare Workers KVGBaseGeoSpockVertica infoOpenText™ Vertica™
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