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DBMS > Dolt vs. etcd vs. Google Cloud Firestore vs. Sqrrl vs. UniData,UniVerse

System Properties Comparison Dolt vs. etcd vs. Google Cloud Firestore vs. Sqrrl vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSqrrl  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA 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.Adaptable, secure NoSQL built on Apache AccumuloMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSKey-value storeDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Multivalue DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score7.85
Rank#51  Overall
#8  Document stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
etcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestoresqrrl.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.dolthub.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestoredocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperDoltHub IncGoogleAmazon infooriginally Sqrrl Data, Inc.Rocket Software
Initial release2018201720121985
Current release3.4, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercialcommercial
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 languageGoGoJavaC
Server operating systemsLinux
macOS
Windows
FreeBSD
Linux
Windows infoexperimental
hostedLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyesoptional
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.nonono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnononoyes
APIs and other access methodsCLI Client
HTTP REST
gRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenoyes, Firebase Rules & Cloud Functionsnoyes
Triggersyesyes, watching key changesyes, with Cloud Functionsnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationselectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesAtomic updates per row, document, or graph entityACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights according to SQL-standard and operating system based

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More resources
DoltetcdGoogle Cloud FirestoreSqrrlUniData,UniVerse
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