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DBMS > OpenTSDB vs. Postgres-XL vs. Qdrant vs. SingleStore

System Properties Comparison OpenTSDB vs. Postgres-XL vs. Qdrant vs. SingleStore

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Editorial information provided by DB-Engines
NameOpenTSDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQdrant  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionScalable Time Series DBMS based on HBaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA high-performance vector database with neural network or semantic-based matchingMySQL 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 type
Primary database modelTime Series DBMSRelational DBMSVector DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websiteopentsdb.netwww.postgres-xl.orggithub.com/­qdrant/­qdrant
qdrant.tech
www.singlestore.com
Technical documentationopentsdb.net/­docs/­build/­html/­index.htmlwww.postgres-xl.org/­documentationqdrant.tech/­documentationdocs.singlestore.com
Developercurrently maintained by Yahoo and other contributorsQdrantSingleStore Inc.
Initial release20112014 infosince 2012, originally named StormDB20212013
Current release10 R1, October 20188.5, January 2024
License infoCommercial or Open SourceOpen Source infoLGPLOpen Source infoMozilla public licenseOpen Source infoApache Version 2.0commercial infofree developer edition available
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.
Implementation languageJavaCRustC++, Go
Server operating systemsLinux
Windows
Linux
macOS
Docker
Linux
macOS
Windows
Linux info64 bit version required
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenumeric data for metrics, strings for tagsyesNumbers, Strings, Geo, Booleanyes
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.noyes infoXML type, but no XML query functionalitynono
Secondary indexesnoyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionnoyes infobut no triggers and foreign keys
APIs and other access methodsHTTP API
Telnet API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesErlang
Go
Java
Python
R
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBasehorizontal partitioningShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBaseCollection-level replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBaseImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardKey-based authenticationFine grained access control via users, groups and roles

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More resources
OpenTSDBPostgres-XLQdrantSingleStore infoformer name was MemSQL
DB-Engines blog posts

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

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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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Recent citations in the news

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

Brain Monitoring with Kafka, OpenTSDB, and Grafana
5 August 2016, KDnuggets

LogicMonitor Rolls a Time Series Database for Finer-Grain Reporting
1 June 2016, The New Stack

provided by Google News

Qdrant review: A highly flexible option for vector search
29 July 2024, InfoWorld

Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

Vector database company Qdrant wants RAG to be more cost-effective
2 July 2024, VentureBeat

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
16 April 2024, businesswire.com

Qdrant unveils hybrid vector algorithm for improved RAG
2 July 2024, Blocks & Files

provided by Google News

SingleStore Partners With Snowflake to Help Users Build Faster, More Efficient Real Time AI Applications
19 September 2024, businesswire.com

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

Achieve near real-time analytics on Amazon DynamoDB with SingleStore
16 September 2024, AWS Blog

Building a Modern Database: Nikita Shamgunov on Postgres and Beyond
18 April 2024, Madrona Venture Group

SingleStore: We do vectors and you don’t need knowledge graphs
22 July 2024, Blocks & Files

provided by Google News



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