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DBMS > Apache Doris vs. EsgynDB vs. Raima Database Manager vs. Tkrzw

System Properties Comparison Apache Doris vs. EsgynDB vs. Raima Database Manager vs. Tkrzw

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonEsgynDB  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionRDBMS with a small footprint, either embedded into an application or used as a database serverA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.49
Rank#259  Overall
#121  Relational DBMS
#21  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitedoris.apache.org
github.com/­apache/­doris
www.esgyn.cnraima.comdbmx.net/­tkrzw
Technical documentationgithub.com/­apache/­doris/­wikidocs.raima.com
DeveloperApache Software Foundation, originally contributed from BaiduEsgynRaima Inc.Mikio Hirabayashi
Initial release2017201519842020
Current release1.2.2, February 202315, June 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaCC++
Server operating systemsLinuxLinuxAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
macOS
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.nonono infoExporting/Importing of XML structures possibleno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsJDBC
MySQL client
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Objective-C
PL/SQL
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsJava Stored Proceduresyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.nonoyesyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnono
More information provided by the system vendor
Apache DorisEsgynDBRaima Database Manager infoformerly named db_VistaTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
News

Raima Unveils RaimaDB 16.0: Elevating Database Performance and User Experience
29 February 2024

Raima Announces Release of Raima Database Manager (RDM) v15, a Powerful Embedded Time Series Database
10 June 2021

Raima Announces Release of Raima Database Manager (RDM) v14.2, a Powerful IoT Edge Embedded Database
8 October 2020

Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions
1 October 2020

Raima Expands Their Reseller Network in Asia
19 May 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache DorisEsgynDBRaima Database Manager infoformerly named db_VistaTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Recent citations in the news

Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?
5 June 2024, hackernoon.com

Workload Isolation in Apache Doris: Optimizing Resource Management and Performance
25 May 2024, hackernoon.com

How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second
1 September 2023, KDnuggets

Streamlining Data Operations: How a Grocery Chain Optimizes Workloads with Apache Doris
16 May 2024, hackernoon.com

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

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