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DBMS > Cloudflare Workers KV vs. OrigoDB vs. SpatiaLite vs. Vertica

System Properties Comparison Cloudflare Workers KV vs. OrigoDB vs. SpatiaLite vs. Vertica

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpatiaLite  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A fully ACID in-memory object graph databaseSpatial extension of SQLiteCloud 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 storeDocument store
Object oriented DBMS
Spatial DBMSRelational DBMS infoColumn oriented
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvorigodb.comwww.gaia-gis.it/­fossil/­libspatialite/­indexwww.vertica.com
Technical documentationdevelopers.cloudflare.com/­kv/­apiorigodb.com/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlvertica.com/­documentation
DeveloperCloudflareRobert Friberg et alAlessandro FurieriOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20182009 infounder the name LiveDB20082005
Current release5.0.0, August 202012.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono 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#C++C++
Server operating systemshostedLinux
Windows
server-lessLinux
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 datenoUser defined using .NET types and collectionsyesyes
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.nono infocan be achieved using .NETnono
Secondary indexesnoyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnonoyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsHTTP REST
Proprietary protocol
.NET Client API
HTTP API
LINQ
ADO.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
.NetC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyesnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyes infoDomain Eventsyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizednonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneMulti-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 methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynodepending on modelyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlRole based authorizationnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Cloudflare Workers KVOrigoDBSpatiaLiteVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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Cloudflare Workers KVOrigoDBSpatiaLiteVertica infoOpenText™ Vertica™
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