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DBMS > Datomic vs. etcd vs. Firebase Realtime Database vs. Teradata vs. VelocityDB

System Properties Comparison Datomic vs. etcd vs. Firebase Realtime Database vs. Teradata vs. VelocityDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonetcd  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonTeradata  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed reliable key-value storeCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A hybrid cloud data analytics software platform (Teradata Vantage)A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSKey-value storeDocument storeRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score14.29
Rank#39  Overall
#6  Document stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.datomic.cometcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­realtime-databasewww.teradata.comvelocitydb.com
Technical documentationdocs.datomic.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­databasedocs.teradata.comvelocitydb.com/­UserGuide
DeveloperCognitectGoogle infoacquired by Google 2014TeradataVelocityDB Inc
Initial release2012201219842011
Current release1.0.6735, June 20233.4, August 2019Teradata Vantage 1.0 MU2, January 20197.x
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen 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 languageJava, ClojureGoC#
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
hostedhosted
Linux
Any that supports .NET
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononoyesno
Secondary indexesyesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnononoyes infoSQL 2016 + extensionsno
APIs and other access methodsRESTful HTTP APIgRPC
JSON over HTTP
Android
iOS
JavaScript API
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
.Net
Supported programming languagesClojure
Java
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Java
JavaScript
Objective-C
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
Server-side scripts infoStored proceduresyes infoTransaction Functionsnolimited functionality with using 'rules'yes infoUDFs, stored procedures, table functions in parallelno
TriggersBy using transaction functionsyes, watching key changesCallbacks are triggered when data changesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyesyes
User concepts infoAccess controlnonoyes, based on authentication and database rulesfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
DatomicetcdFirebase Realtime DatabaseTeradataVelocityDB
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