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DBMS > AlaSQL vs. etcd vs. Google Cloud Firestore vs. GreptimeDB vs. Kinetica

System Properties Comparison AlaSQL vs. etcd vs. Google Cloud Firestore vs. GreptimeDB vs. Kinetica

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGreptimeDB  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionJavaScript DBMS libraryA distributed reliable key-value storeCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.An open source Time Series DBMS built for increased scalability, high performance and efficiencyFully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Relational DBMS
Key-value storeDocument storeTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score7.85
Rank#51  Overall
#8  Document stores
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitealasql.orgetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestoregreptime.comwww.kinetica.com
Technical documentationgithub.com/­AlaSQL/­alasqletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestoredocs.greptime.comdocs.kinetica.com
DeveloperAndrey Gershun & Mathias R. WulffGoogleGreptime Inc.Kinetica
Initial release2014201720222012
Current release3.4, August 20197.1, August 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptGoRustC, C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
Windows infoexperimental
hostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
Data schemeschema-freeschema-freeschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or datenonoyesyesyes
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.nonononono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nonoyesSQL-like DML and DDL statements
APIs and other access methodsJavaScript APIgRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP API
JDBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaScript.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Erlang
Go
Java
JavaScript
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes, Firebase Rules & Cloud FunctionsPythonuser defined functions
Triggersyesyes, watching key changesyes, with Cloud Functionsyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAM
User concepts infoAccess controlnonoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Simple rights management via user accountsAccess rights for users and roles on table level
More information provided by the system vendor
AlaSQLetcdGoogle Cloud FirestoreGreptimeDBKinetica
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AlaSQLetcdGoogle Cloud FirestoreGreptimeDBKinetica
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