DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Amazon DocumentDB vs. Axibase vs. Cubrid vs. Sphinx vs. Transwarp Hippo

System Properties Comparison Amazon DocumentDB vs. Axibase vs. Cubrid vs. Sphinx vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAxibase  Xexclude from comparisonCubrid  Xexclude from comparisonSphinx  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPOpen source search engine for searching in data from different sources, e.g. relational databasesCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument storeTime Series DBMSRelational DBMSSearch engineVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score0.21
Rank#308  Overall
#25  Time Series DBMS
Score0.97
Rank#189  Overall
#86  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websiteaws.amazon.com/­documentdbaxibase.com/­docs/­atsd/­financecubrid.com (korean)
cubrid.org (english)
sphinxsearch.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationaws.amazon.com/­documentdb/­resourcescubrid.org/­manualssphinxsearch.com/­docs
DeveloperAxibase CorporationCUBRID Corporation, CUBRID FoundationSphinx Technologies Inc.
Initial release20192013200820012023
Current release1558511.0, January 20213.5.1, February 20231.0, May 2023
License infoCommercial or Open Sourcecommercialcommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availablecommercial
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 languageJavaC, C++, JavaC++C++
Server operating systemshostedLinuxLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infoshort, integer, long, float, double, decimal, stringyesnoVector, Numeric and String
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.nononono
Secondary indexesyesnoyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoSQL-like query languageyesSQL-like query language (SphinxQL)no
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Proprietary protocolRESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
PHP
Python
R
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Python
Server-side scripts infoStored proceduresnoyesJava Stored Proceduresnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnoRole based access control and fine grained access rights

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon DocumentDBAxibaseCubridSphinxTranswarp Hippo
DB-Engines blog posts

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

Unlock the power of parallel indexing in Amazon DocumentDB
19 June 2024, AWS Blog

AWS announces Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service
16 May 2024, AWS Blog

Optimizing costs on Amazon DocumentDB using event-driven architecture and the AWS EventBridge Terraform module
23 August 2024, AWS Blog

Unlock the power of Amazon DocumentDB text search with real-world use cases
5 March 2024, AWS Blog

Update your Amazon DocumentDB TLS certificates: Expiring in 2024
28 March 2024, AWS Blog

provided by Google News

The Ultimate ATV Test: Suzuki’s King Quad 750 AXI Rugged Package vs. Alaska’s Hunting Season
14 October 2020, Outdoor Life

provided by Google News

NHN Willing to Be More Open
24 November 2008, 코리아타임스

provided by Google News

Switching From Sphinx to MkDocs Documentation — What Did I Gain and Lose?
2 February 2024, Towards Data Science

Manticore is a Faster Alternative to Elasticsearch in C++
25 July 2022, hackernoon.com

Beyond the Concert Hall: 5 Organizations Making a Difference in Classical Music in 2018
22 December 2018, WQXR Radio

Here’s Why Russia Is Cracking Down on Google
23 February 2015, TIME

The Pirate Bay was recently down for over a week due to a DDoS attack
29 October 2019, The Hacker News

provided by Google News

10 top vector database options for similarity searches
8 August 2024, TechTarget

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here