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DBMS > Aerospike vs. Microsoft Azure SQL Database vs. QuestDB vs. RDF4J vs. TDengine

System Properties Comparison Aerospike vs. Microsoft Azure SQL Database vs. QuestDB vs. RDF4J vs. TDengine

Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonQuestDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionFlash-optimized In-memory NoSQL DatabaseDatabase as a Service offering with high compatibility to Microsoft SQL ServerA high performance open source SQL database for time series dataRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Time Series DBMS and big data platform
Primary database modelDocument store
Graph DBMS infoleveraging Apache Tinkerpop
Key-value store
Spatial DBMS
Relational DBMSTime Series DBMSRDF storeTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.10
Rank#59  Overall
#11  Document stores
#3  Graph DBMS
#7  Key-value stores
#2  Spatial DBMS
Score78.40
Rank#15  Overall
#10  Relational DBMS
Score2.48
Rank#115  Overall
#9  Time Series DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Score2.68
Rank#109  Overall
#8  Time Series DBMS
Websiteaerospike.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasequestdb.iordf4j.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.aerospike.comdocs.microsoft.com/­en-us/­azure/­azure-sqlquestdb.io/­docsrdf4j.org/­documentationdocs.tdengine.com
Social network pagesLinkedInTwitterFacebookYouTube
DeveloperAerospikeMicrosoftQuestDB Technology IncSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.TDEngine, previously Taos Data
Initial release20122010201420042019
Current release7.0, November 2023V123.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availablecommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java (Zero-GC), C++, RustJavaC
Server operating systemsLinuxhostedLinux
macOS
Windows
Linux
OS X
Unix
Windows
Linux
Windows
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolyes infoRDF Schemasyes
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.noyesnono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLnoyesSQL with time-series extensionsnoStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
Proprietary protocol
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Java
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infowith LuaTransact SQLnoyesno
Triggersnoyesnoyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, with always 3 replicas availableSource-replica replication with eventual consistencynoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/Reducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsACIDACID for single-table writesACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlyfine grained access rights according to SQL-standardnoyes
More information provided by the system vendor
Aerospike infopreviously called CitrusleafMicrosoft Azure SQL Database infoformerly SQL AzureQuestDBRDF4J infoformerly known as SesameTDengine
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
News

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4 April 2024

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15 November 2023

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TimescaleDB vs. QuestDB: Performance benchmarks and overview
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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
Aerospike infopreviously called CitrusleafMicrosoft Azure SQL Database infoformerly SQL AzureQuestDBRDF4J infoformerly known as SesameTDengine
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Recent citations in the news

Aerospike Lands $109 Million Investment to Fuel Expansion
25 April 2024, Channel Insider

Aerospike raises $109M for its real-time database platform to capitalize on the AI boom
4 April 2024, TechCrunch

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QuestDB snares $12M Series A with hosted version coming soon
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TDengine 3.0 Introduces Cloud Native Architecture to Simplify Large-scale Time-Series Data Operations in IoT
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