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DBMS > Alibaba Cloud TSDB vs. ArangoDB vs. QuestDB vs. SAP HANA

System Properties Comparison Alibaba Cloud TSDB vs. ArangoDB vs. QuestDB vs. SAP HANA

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Editorial information provided by DB-Engines
NameAlibaba Cloud TSDB  Xexclude from comparisonArangoDB  Xexclude from comparisonQuestDB  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionA stable, reliable, and cost-effective online high-performance time series database serviceNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A high performance open source SQL database for time series dataIn-memory, column based data store. Available as appliance or cloud service
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Search engine
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#306  Overall
#26  Time Series DBMS
Score3.32
Rank#90  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Websitewww.alibabacloud.com/­product/­hitsdbarangodb.comquestdb.iowww.sap.com/­products/­hana.html
Technical documentationwww.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdbdocs.arangodb.comquestdb.io/­docshelp.sap.com/­hana
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperAlibabaArangoDB Inc.QuestDB Technology IncSAP
Initial release201220142010
Current release3.11.5, November 20232.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

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ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
Implementation languageC++Java (Zero-GC), C++, Rust
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Windows
Appliance or cloud-service
Data schemeschema-freeschema-free infoautomatically recognizes schema within a collectionyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyes infostring, double, boolean, list, hashyesyes
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.nonono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnonoSQL with time-series extensionsyes
APIs and other access methodsHTTP RESTAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
ODBC
Supported programming languagesJavaC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoJavaScriptnoSQLScript, R
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0horizontal partitioning (by timestamps)yes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorSource-replica replication with eventual consistencyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesyes
User concepts infoAccess controlAccess managed on TSDB instance levelyesyes
More information provided by the system vendor
Alibaba Cloud TSDBArangoDBQuestDBSAP HANA
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
Alibaba Cloud TSDBArangoDBQuestDBSAP HANA
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
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