DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > 4D vs. Amazon CloudSearch vs. Splunk vs. Vertica vs. Vitess

System Properties Comparison 4D vs. Amazon CloudSearch vs. Splunk vs. Vertica vs. Vitess

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonSplunk  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA hosted search engine service by Amazon with the data stored in Amazons cloudAnalytics Platform for Big DataCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSSearch engineSearch engineRelational DBMS infoColumn orientedRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.85
Rank#137  Overall
#12  Search engines
Score86.45
Rank#14  Overall
#2  Search engines
Score10.68
Rank#43  Overall
#27  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.4d.comaws.amazon.com/­cloudsearchwww.splunk.comwww.vertica.comvitess.io
Technical documentationdeveloper.4d.comdocs.aws.amazon.com/­cloudsearchdocs.splunk.com/­Documentation/­Splunkvertica.com/­documentationvitess.io/­docs
Developer4D, IncAmazonSplunk Inc.OpenText infopreviously Micro Focus and Hewlett PackardThe Linux Foundation, PlanetScale
Initial release19842012200320052013
Current releasev20, April 202312.0.3, January 202315.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infoLimited free edition and free developer edition availablecommercial infoLimited community edition freeOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesnono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemsOS X
Windows
hostedLinux
OS X
Solaris
Windows
LinuxDocker
Linux
macOS
Data schemeyesyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.yes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesyesno
Secondary indexesyesyes infoall search fields are automatically indexedyesNo Indexes Required. Different internal optimization strategy, but same functionality included.yes
SQL infoSupport of SQLyes infoclose to SQL 92nono infoSplunk Search Processing Language for search commandsFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.yes infowith proprietary extensions
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
HTTP APIHTTP RESTADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages4D proprietary IDE
PHP
C#
Java
JavaScript
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesnoyesyes, PostgreSQL PL/pgSQL, with minor differencesyes infoproprietary syntax
Triggersyesnoyesyes, called Custom Alertsyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infoautomatic partitioning across Amazon Search Instance as requiredShardinghorizontal partitioning, hierarchical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infomanaged transparently by AWSMulti-source replicationMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.nononoyes
User concepts infoAccess controlUsers and groupsauthentication via encrypted signaturesAccess rights for users and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
4D infoformer name: 4th DimensionAmazon CloudSearchSplunkVertica infoOpenText™ Vertica™Vitess
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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
4D infoformer name: 4th DimensionAmazon CloudSearchSplunkVertica infoOpenText™ Vertica™Vitess
DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

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

show all

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

show all

Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Is Amazon CloudSearch superior to do-it-yourself search tools?
24 January 2014, TechTarget

Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services
24 March 2014, AWS Blog

Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog
21 October 2014, AWS Blog

provided by Google News

OCI Object Storage Completes Technical Validation of Vertica in Eon Mode
16 October 2023, blogs.oracle.com

Vertica by OpenText and Anritsu Sign New Deal for Next-Gen Architecture and 5G Network Capabilities
17 May 2023, PR Newswire

Stonebraker Seeks to Invert the Computing Paradigm with DBOS
12 March 2024, Datanami

OpenText expands enterprise portfolio with AI and Micro Focus integrations
25 July 2023, VentureBeat

OpenText integrates Micro Focus tech through Cloud Editions 23.3
26 July 2023, Techzine Europe

provided by Google News

Vitess, the database clustering system powering YouTube, graduates CNCF incubation
5 November 2019, SiliconANGLE News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

They scaled YouTube -- now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

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

RaimaDB logo

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

Milvus logo

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

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

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

Present your product here