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DBMS > etcd vs. eXtremeDB vs. Hive vs. Raima Database Manager vs. Teradata Aster

System Properties Comparison etcd vs. eXtremeDB vs. Hive vs. Raima Database Manager vs. Teradata Aster

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHive  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clusteringdata warehouse software for querying and managing large distributed datasets, built on HadoopRDBMS with a small footprint, either embedded into an application or used as a database serverPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.mcobject.comhive.apache.orgraima.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.raima.com
DeveloperMcObjectApache Software Foundation infoinitially developed by FacebookRaima Inc.Teradata
Initial release2001201219842005
Current release3.4, August 20198.2, 20213.1.3, April 202215, June 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++JavaC
Server operating systemsFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
All OS with a Java VMAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
Data schemeschema-freeyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nono infosupport of XML interfaces availableno infoExporting/Importing of XML structures possibleyes infoin Aster File Store
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsgRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Java
PHP
Python
.Net
C
C++
Objective-C
PL/SQL
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesyes infouser defined functions and integration of map-reduceyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationR packages
Triggersyes, watching key changesyes infoby defining eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factorSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes, multi-version concurrency control (MVCC)yes
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.noyesyesno
User concepts infoAccess controlnoAccess rights for users, groups and rolesnofine grained access rights according to SQL-standard
More information provided by the system vendor
etcdeXtremeDBHiveRaima Database Manager infoformerly named db_VistaTeradata Aster
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Raima Database Manager (RDM) is an embedded time-series database optimized to run...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Decreased time-to-market Industry-standard interfaces & tools for making your job...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Over 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Just as the technical aspects of Raima Database Manager are flexible, so are the...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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