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DBMS > Axibase vs. Cloudflare Workers KV vs. CrateDB vs. Kinetica

System Properties Comparison Axibase vs. Cloudflare Workers KV vs. CrateDB vs. Kinetica

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonCrateDB  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Distributed Database based on LuceneFully vectorized database across both GPUs and CPUs
Primary database modelTime Series DBMSKey-value storeDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financewww.cloudflare.com/­developer-platform/­workers-kvcratedb.comwww.kinetica.com
Technical documentationdevelopers.cloudflare.com/­kv/­apicratedb.com/­docsdocs.kinetica.com
DeveloperAxibase CorporationCloudflareCrateKinetica
Initial release2013201820132012
Current release155857.1, August 2021
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC, C++
Server operating systemsLinuxhostedAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringnoyesyes
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.nononono
Secondary indexesnonoyesyes
SQL infoSupport of SQLSQL-like query languagenoyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like DML and DDL statements
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
HTTP REST
Proprietary protocol
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnouser defined functions (Javascript)user defined functions
Triggersyesnonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesConfigurable replication on table/partition-levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Read-after-write consistency on record level
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infounique row identifiers can be used for implementing an optimistic concurrency control strategyno
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.nonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlrights management via user accountsAccess rights for users and roles on table level

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More resources
AxibaseCloudflare Workers KVCrateDBKinetica
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