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 > Hazelcast vs. QuestDB vs. SAP HANA vs. TDengine

System Properties Comparison Hazelcast vs. QuestDB vs. SAP HANA vs. TDengine

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonQuestDB  Xexclude from comparisonSAP HANA  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionA widely adopted in-memory data gridA high performance open source SQL database for time series dataIn-memory, column based data store. Available as appliance or cloud serviceTime Series DBMS and big data platform
Primary database modelKey-value storeTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitehazelcast.comquestdb.iowww.sap.com/­products/­hana.htmlgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationhazelcast.org/­imdg/­docsquestdb.io/­docshelp.sap.com/­hanadocs.tdengine.com
DeveloperHazelcastQuestDB Technology IncSAPTDEngine, previously Taos Data
Initial release2008201420102019
Current release5.3.6, November 20232.0 SPS07 (AprilĀ 4, 2023), April 20233.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava (Zero-GC), C++, RustC
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
Appliance or cloud-serviceLinux
Windows
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocolyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infothe object must implement a serialization strategynonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-like query languageSQL with time-series extensionsyesStandard SQL with extensions for time-series applications
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
ODBC
JDBC
RESTful HTTP API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesnoSQLScript, Rno
Triggersyes infoEventsnoyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)yesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapSource-replica replication with eventual consistencyyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACID 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.yesyes infothrough memory mapped filesyes
User concepts infoAccess controlRole-based access controlyesyes
More information provided by the system vendor
HazelcastQuestDBSAP HANATDengine
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
TDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh 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 scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsOpen 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

QuestDB and Raspberry Pi 5 benchmark, a pocket-sized powerhouse
8 May 2024

Build your own resource monitor with QuestDB and Grafana
6 May 2024

Does "vpmovzxbd" Scare You? Here's Why it Doesn't Have To
12 April 2024

Create an ADS-B flight radar with QuestDB and a Raspberry Pi
8 April 2024

Build a temperature IoT sensor with Raspberry Pi Pico & QuestDB
5 April 2024

Seamless Data Integration from MQTT and InfluxDB to TDengine
22 May 2024

Solving Long Query Performance Bottlenecks
22 May 2024

What Is Predictive Maintenance?
17 May 2024

Can Typical Time-Series Databases Replace Data Historians?
8 May 2024

TDengine 3.3.0.0 Release Notes
7 May 2024

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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
HazelcastQuestDBSAP HANATDengine
Recent citations in the news

Hazelcast Weaves Wider Logic Threads Through The Data Fabric
7 March 2024, Forbes

Hazelcast Showcases Real-Time Data Platform at 2024 Gartner Summit
15 May 2024, Datanami

Hazelcast 5.4 real time data processing platform boosts AI and consistency
17 April 2024, VentureBeat

Real-Time Data Platform Hazelcast Introduces New Chief Technology Officer Adrian Soars
7 November 2023, Finovate

Hazelcast to Demonstrate Power of Unified Platform for Real-Time and AI Applications at the ...
13 May 2024, WDRB

provided by Google News

QuestDB snares $12M Series A with hosted version coming soon
3 November 2021, TechCrunch

SQL Extensions for Time-Series Data in QuestDB
11 January 2021, Towards Data Science

Read the Pitch Deck Database Startup QuestDB Used to Raise $12 Million
11 November 2021, Business Insider

Q&A: Nicolas Hourcard, QuestDB: The advantages of a time-series database
3 December 2020, Developer News

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

provided by Google News

Combine the Power of AI with Business Context Using SAP HANA Cloud Vector Engine
2 April 2024, SAP News

Automating the update process of a clustered SAP HANA DB using nZDT and Ansible | Amazon Web Services
16 November 2023, AWS Blog

Modernize consolidation in an SAP S/4 HANA environment | CCH Tagetik
9 April 2024, Wolters Kluwer

SAP HANA Cloud Vector Engine
18 April 2024, IgniteSAP

What are the options as SAP HANA 1.0 support in the Neo environment sunsets?
3 November 2023, ComputerWeekly.com

provided by Google News

TDengine named Top Global Industrial Data Management Solution
4 January 2024, IT Brief Australia

New TDengine Benchmark Results Show Up to 37.0x Higher Query Performance Than InfluxDB and TimescaleDB
28 February 2023, Yahoo Finance

TDengine debuts cloud-based time-series data processing platform for IoT deployments
20 September 2022, SiliconANGLE News

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

MindsDB is now the leading and fastest growing applied ML platform in the world India - English
3 November 2022, PR Newswire

provided by Google News



Share this page

Featured Products

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

Neo4j logo

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

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Present your product here