DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > RisingWave vs. Sphinx vs. TinkerGraph vs. Yanza

System Properties Comparison RisingWave vs. Sphinx vs. TinkerGraph vs. Yanza

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameRisingWave  Xexclude from comparisonSphinx  Xexclude from comparisonTinkerGraph  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed RDBMS for stream processing, wire-compatible with PostgreSQLOpen source search engine for searching in data from different sources, e.g. relational databasesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APITime Series DBMS for IoT Applications
Primary database modelRelational DBMSSearch engineGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#237  Overall
#111  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.08
Rank#345  Overall
#34  Graph DBMS
Websitewww.risingwave.com/­databasesphinxsearch.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinyanza.com
Technical documentationdocs.risingwave.com/­docs/­current/­introsphinxsearch.com/­docs
DeveloperRisingWave LabsSphinx Technologies Inc.Yanza
Initial release2022200120092015
Current release1.2, September 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++Java
Server operating systemsDocker
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateStandard SQL-types and JSONnoyesno
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
Secondary indexesyesyes infofull-text index on all search fieldsnono
SQL infoSupport of SQLyesSQL-like query language (SphinxQL)nono
APIs and other access methodsJDBC
PostgreSQL wire protocol
Proprietary protocolTinkerPop 3HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Groovy
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresUDFs in Python or Javanonono
Triggersnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesnoyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.optionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers and Rolesnonono

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
RisingWaveSphinxTinkerGraphYanza
DB-Engines blog posts

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

show all

Recent citations in the news

Streaming Databases: Embracing the Convergence of Stream Processing and Databases
17 May 2024, InfoQ.com

Infostealers on the Rise: A New Wave of Major Data Breaches?
1 July 2024, Security Boulevard

Open Source Ibis 8.0 Lets Data Teams Write Code Once and
12 February 2024, GlobeNewswire

A rising wave of tech disruptors: The future of defense innovation?
22 February 2024, McKinsey

RisingWave Cloud Democratizes Event Stream Processing, Making It Affordable at Cloud Scale
27 June 2023, Datanami

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

Unit testing Apache TinkerPop transactions: From TinkerGraph to Amazon Neptune
3 June 2024, AWS Blog

Simple Deployment of a Graph Database: JanusGraph
12 October 2020, Towards Data Science

Introducing Gremlin query hints for Amazon Neptune
26 February 2019, AWS Blog

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

Milvus logo

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

Neo4j logo

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

SingleStore logo

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

RaimaDB logo

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

Present your product here