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DBMS > Amazon Redshift vs. Apache Impala vs. etcd vs. Oracle vs. RavenDB

System Properties Comparison Amazon Redshift vs. Apache Impala vs. etcd vs. Oracle vs. RavenDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Impala  Xexclude from comparisonetcd  Xexclude from comparisonOracle  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for HadoopA distributed reliable key-value storeWidely used RDBMSOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSDocument store
Secondary database modelsDocument storeDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score7.66
Rank#55  Overall
#6  Key-value stores
Score1221.06
Rank#1  Overall
#1  Relational DBMS
Score3.47
Rank#95  Overall
#16  Document stores
Websiteaws.amazon.com/­redshiftimpala.apache.orgetcd.io
github.com/­etcd-io/­etcd
www.oracle.com/­databaseravendb.net
Technical documentationdocs.aws.amazon.com/­redshiftimpala.apache.org/­impala-docs.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.oracle.com/­en/­databaseravendb.net/­docs
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation infoApache top-level project, originally developed by ClouderaOracleHibernating Rhinos
Initial release2012201319802010
Current release4.1.0, June 20223.4, August 201923c, September 20235.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial inforestricted free version is availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++GoC and C++C#
Server operating systemshostedLinuxFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesschema-freeyes infoSchemaless in JSON and XML columnsschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.nononoyes
Secondary indexesrestrictedyesnoyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsnoyes infowith proprietary extensionsSQL-like query language (RQL)
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
gRPC
JSON over HTTP
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
.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/ODBCAll languages supporting JDBC/ODBC.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infouser defined functions and integration of map-reducenoPL/SQL infoalso stored procedures in Java possibleyes
Triggersnonoyes, watching key changesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono infocan be realized in PL/SQLyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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 integrityyes infoinformational only, not enforced by the systemnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoisolation level can be parameterizedACID, Cluster-wide transaction available
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.yesnonoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnofine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
Amazon RedshiftApache ImpalaetcdOracleRavenDB
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