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DBMS > Axibase vs. Google Cloud Spanner vs. GreptimeDB vs. KeyDB

System Properties Comparison Axibase vs. Google Cloud Spanner vs. GreptimeDB vs. KeyDB

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGreptimeDB  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.An open source Time Series DBMS built for increased scalability, high performance and efficiencyAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Websiteaxibase.com/­docs/­atsd/­financecloud.google.com/­spannergreptime.comgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationcloud.google.com/­spanner/­docsdocs.greptime.comdocs.keydb.dev
DeveloperAxibase CorporationGoogleGreptime Inc.EQ Alpha Technology Ltd.
Initial release2013201720222019
Current release15585
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoApache Version 2.0Open Source infoBSD-3
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 languageJavaRustC++
Server operating systemsLinuxhostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
Data schemeyesyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesnoyesyesyes infoby using the Redis Search module
SQL infoSupport of SQLSQL-like query languageyes infoQuery statements complying to ANSI 2011yesno
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
gRPC
HTTP API
JDBC
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Go
Java
JavaScript (Node.js)
Python
C++
Erlang
Go
Java
JavaScript
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresyesnoPythonLua
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Simple rights management via user accountssimple password-based access control and ACL
More information provided by the system vendor
AxibaseGoogle Cloud SpannerGreptimeDBKeyDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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AxibaseGoogle Cloud SpannerGreptimeDBKeyDB
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