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DBMS > etcd vs. eXtremeDB vs. GreptimeDB vs. Kinetica

System Properties Comparison etcd vs. eXtremeDB vs. GreptimeDB vs. Kinetica

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionA distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clusteringAn open source Time Series DBMS built for increased scalability, high performance and efficiencyFully vectorized database across both GPUs and CPUs
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.05
Rank#53  Overall
#5  Key-value stores
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.mcobject.comgreptime.comwww.kinetica.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmdocs.greptime.comdocs.kinetica.com
DeveloperMcObjectGreptime Inc.Kinetica
Initial release200120222012
Current release3.4, August 20198.2, 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++RustC, C++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
Data schemeschema-freeyesschema-free, schema definition possibleyes
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.nono infosupport of XML interfaces availablenono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLyesSQL-like DML and DDL statements
APIs and other access methodsgRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
gRPC
HTTP API
JDBC
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Erlang
Go
Java
JavaScript
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesPythonuser defined functions
Triggersyes, watching key changesyes infoby defining eventsyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoSimple rights management via user accountsAccess rights for users and roles on table level
More information provided by the system vendor
etcdeXtremeDBGreptimeDBKinetica
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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etcdeXtremeDBGreptimeDBKinetica
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