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DBMS > Apache Impala vs. Datomic vs. Firebase Realtime Database vs. SAP SQL Anywhere vs. VelocityDB

System Properties Comparison Apache Impala vs. Datomic vs. Firebase Realtime Database vs. SAP SQL Anywhere vs. VelocityDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score15.00
Rank#39  Overall
#6  Document stores
Score4.57
Rank#78  Overall
#43  Relational DBMS
Score0.11
Rank#347  Overall
#35  Graph DBMS
#15  Object oriented DBMS
Websiteimpala.apache.orgwww.datomic.comfirebase.google.com/­products/­realtime-databasewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlvelocitydb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.comfirebase.google.com/­docs/­databasehelp.sap.com/­docs/­SAP_SQL_Anywherevelocitydb.com/­UserGuide
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectGoogle infoacquired by Google 2014SAP infoformerly SybaseVelocityDB Inc
Initial release20132012201219922011
Current release4.1.0, June 20221.0.6735, June 202317, July 20157.x
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ClojureC#
Server operating systemsLinuxAll OS with a Java VMhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Any that supports .NET
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
.Net
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
Java
JavaScript
Objective-C
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoTransaction Functionslimited functionality with using 'rules'yes, in C/C++, Java, .Net or Perlno
TriggersnoBy using transaction functionsCallbacks are triggered when data changesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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 datanoACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnoyes, based on authentication and database rulesfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
Apache ImpalaDatomicFirebase Realtime DatabaseSAP SQL Anywhere infoformerly called Adaptive Server AnywhereVelocityDB
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