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DBMS > KairosDB vs. Prometheus vs. SingleStore vs. Titan

System Properties Comparison KairosDB vs. Prometheus vs. SingleStore vs. Titan

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Editorial information provided by DB-Engines
NameKairosDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionDistributed Time Series DBMS based on Cassandra or H2Open-source Time Series DBMS and monitoring systemMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#230  Overall
#20  Time Series DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Score5.91
Rank#61  Overall
#34  Relational DBMS
Websitegithub.com/­kairosdb/­kairosdbprometheus.iowww.singlestore.comgithub.com/­thinkaurelius/­titan
Technical documentationkairosdb.github.ioprometheus.io/­docsdocs.singlestore.comgithub.com/­thinkaurelius/­titan/­wiki
DeveloperSingleStore Inc.Aurelius, owned by DataStax
Initial release2013201520132012
Current release1.2.2, November 20188.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial infofree developer edition availableOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaGoC++, GoJava
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux info64 bit version requiredLinux
OS X
Unix
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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 infoImport of XML data possibleno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoyes infobut no triggers and foreign keysno
APIs and other access methodsGraphite protocol
HTTP REST
Telnet API
RESTful HTTP/JSON APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJava
JavaScript infoNode.js
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresnonoyesyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infohash partitioningyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayes infoby FederationSource-replica replication infostores two copies of each physical data partition on two separate nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlsimple password-based access controlnoFine grained access control via users, groups and rolesUser authentification and security via Rexster Graph Server
More information provided by the system vendor
KairosDBPrometheusSingleStore infoformer name was MemSQLTitan
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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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
KairosDBPrometheusSingleStore infoformer name was MemSQLTitan
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

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Recent citations in the news

The re-emergence of time-series – O'Reilly
6 April 2013, oreilly.com

provided by Google News

VictoriaMetrics Offers Prometheus Replacement for Time Series Monitoring
17 July 2023, The New Stack

How to reduce Istio sidecar metric cardinality with Amazon Managed Service for Prometheus | Amazon Web Services
10 October 2023, AWS Blog

A Comprehensive Comparison of Prometheus and Grafana in 2023
8 December 2023, hackernoon.com

Linux System Monitoring with Prometheus, Grafana, and collectd
1 February 2024, Linux Journal

Consider Grafana vs. Prometheus for your time-series tools
18 October 2021, TechTarget

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SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

SingleStore Announces Exclusive Partnership with Agile Platform
15 April 2024, Business Wire

SingleStore adds indexed vector search to Pro Max release for faster AI work – Blocks and Files
29 January 2024, Blocks & Files

Leveraging SingleStoreDB Cloud Private Connectivity Using AWS PrivateLink | Amazon Web Services
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Announcing watsonx.ai and SingleStore for generative AI applications
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Amazon DynamoDB Storage Backend for Titan: Distributed Graph Database | Amazon Web Services
24 August 2015, AWS Blog

Beyond Titan: The Evolution of DataStax's New Graph Database
21 June 2016, Datanami

Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads
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DataStax acquires Aurelius, the startup behind the Titan graph database
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DSE Graph review: Graph database does double duty
14 November 2019, InfoWorld

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