DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > AlaSQL vs. RRDtool vs. searchxml vs. Stardog vs. Vertica

System Properties Comparison AlaSQL vs. RRDtool vs. searchxml vs. Stardog vs. Vertica

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonRRDtool  Xexclude from comparisonsearchxml  Xexclude from comparisonStardog  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionJavaScript DBMS libraryIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.DBMS for structured and unstructured content wrapped with an application serverEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationCloud 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.
Primary database modelDocument store
Relational DBMS
Time Series DBMSNative XML DBMS
Search engine
Graph DBMS
RDF store
Relational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitealasql.orgoss.oetiker.ch/­rrdtoolwww.searchxml.net/­category/­productswww.stardog.comwww.vertica.com
Technical documentationgithub.com/­AlaSQL/­alasqloss.oetiker.ch/­rrdtool/­docwww.searchxml.net/­support/­handoutsdocs.stardog.comvertica.com/­documentation
DeveloperAndrey Gershun & Mathias R. WulffTobias Oetikerinformationpartners gmbhStardog-UnionOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20141999201520102005
Current release1.8.0, 20221.07.3.0, May 202012.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoGPL V2 and FLOSScommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC infoImplementations in Java (e.g. RRD4J) and C# availableC++JavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)HP-UX
Linux
WindowsLinux
macOS
Windows
Linux
Data schemeschema-freeyesschema-freeschema-free and OWL/RDFS-schema supportYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or datenoNumeric data onlyyesyesyes
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 infoExporting into and restoring from XML files possibleyesno infoImport/export of XML data possibleno
Secondary indexesnonoyesyes infosupports real-time indexing in full-text and geospatialNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nonoYes, compatible with all major SQL variants through dedicated BI/SQL ServerFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJavaScript APIin-process shared library
Pipes
RESTful HTTP API
WebDAV
XQuery
XSLT
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesJavaScriptC infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C++ infomost other programming languages supported via APIs.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnonoyes infoon the application serveruser defined functions and aggregates, HTTP Server extensions in Javayes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesnonoyes infovia event handlersyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnonenonenonenonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infosychronisation to multiple collectionsMulti-source replication in HA-ClusterMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenomultiple readers, single writerACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoby using the rrdcached daemonyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesno
User concepts infoAccess controlnonoDomain, group and role-based access control at the document level and for application servicesAccess rights for users and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
AlaSQLRRDtoolsearchxmlStardogVertica infoOpenText™ Vertica™
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
AlaSQLRRDtoolsearchxmlStardogVertica infoOpenText™ Vertica™
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Recent citations in the news

HarperDB - How and Why We Built It From The Ground Up on NodeJS
28 February 2021, hackernoon.com

Create a Marvel Database with SQL and Javascript, the easy way
2 July 2019, Towards Data Science

Multi faceted data exploration in the browser using Leaflet and amCharts
3 May 2020, Towards Data Science

provided by Google News

SQLi vulnerability in Cacti could lead to RCE (CVE-2023-51448)
9 January 2024, Help Net Security

Critical IP spoofing bug patched in Cacti
15 December 2022, The Daily Swig

How to install Cacti SNMP Monitor on Ubuntu
24 November 2017, TechRepublic

The 16 Best Open Source Network Monitoring Tools in 2023
21 October 2022, Solutions Review

Graph Your Network with Cacti
1 January 2009, Open Source For You

provided by Google News

MapR Hadoop Upgrade Runs HP Vertica
22 September 2023, InformationWeek

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

Querying a Vertica data source in Amazon Athena using the Athena Federated Query SDK | Amazon Web Services
11 February 2021, AWS Blog

Postgres pioneer Michael Stonebraker promises to upend the database once more
26 December 2023, The Register

provided by Google News



Share this page

Featured Products

Neo4j logo

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

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

Present your product here