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DBMS > Apache Impala vs. Microsoft Azure SQL Database vs. ObjectBox vs. RavenDB

System Properties Comparison Apache Impala vs. Microsoft Azure SQL Database vs. ObjectBox vs. RavenDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonObjectBox  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopDatabase as a Service offering with high compatibility to Microsoft SQL ServerExtremely fast embedded database for small devices, IoT and MobileOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSDocument store
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Time Series DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websiteimpala.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databaseobjectbox.ioravendb.net
Technical documentationimpala.apache.org/­impala-docs.htmldocs.microsoft.com/­en-us/­azure/­azure-sqldocs.objectbox.ioravendb.net/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftObjectBox LimitedHibernating Rhinos
Initial release2013201020172010
Current release4.1.0, June 2022V125.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache License 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C and C++C#
Server operating systemsLinuxhostedAndroid
iOS
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceTransact SQLnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, with always 3 replicas availableonline/offline synchronization between client and serverMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardyesAuthorization levels configured per client per database
More information provided by the system vendor
Apache ImpalaMicrosoft Azure SQL Database infoformerly SQL AzureObjectBoxRavenDB
News

The first On-Device Vector Database: ObjectBox 4.0
16 May 2024

Edge AI: The era of on-device AI
23 April 2024

In-Memory Database Use Cases
15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

Vector Databases for Edge AI
9 August 2023

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More resources
Apache ImpalaMicrosoft Azure SQL Database infoformerly SQL AzureObjectBoxRavenDB
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Apache Impala becomes Top-Level Project
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Oren Eini on RavenDB, Including Consistency Guarantees and C# as the Implementation Language
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RavenDB Adds Graph Queries
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23 September 2016, Visual Studio Magazine

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