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DBMS > GreptimeDB vs. Hazelcast vs. Heroic vs. UniData,UniVerse vs. YottaDB

System Properties Comparison GreptimeDB vs. Hazelcast vs. Heroic vs. UniData,UniVerse vs. YottaDB

Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonHazelcast  Xexclude from comparisonHeroic  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA widely adopted in-memory data gridTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMultiValue database and application server with SQL mapping layer and meta database capabilitiesA fast and solid embedded Key-value store
Primary database modelTime Series DBMSKey-value storeTime Series DBMSMultivalue DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitegreptime.comhazelcast.comgithub.com/­spotify/­heroicwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatayottadb.com
Technical documentationdocs.greptime.comhazelcast.org/­imdg/­docsspotify.github.io/­heroicdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidatayottadb.com/­resources/­documentation
DeveloperGreptime Inc.HazelcastSpotifyRocket SoftwareYottaDB, LLC
Initial release20222008201419852001
Current release5.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJavaJavaCC
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Docker
Linux
Data schemeschema-free, schema definition possibleschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesoptionalno
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 infothe object must implement a serialization strategynono
Secondary indexesyesyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLyesSQL-like query languagenoyesby using the Octo plugin
APIs and other access methodsgRPC
HTTP API
JDBC
JCache
JPA
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC++
Erlang
Go
Java
JavaScript
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Basic infoU2 Basic
C
Java
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresPythonyes infoEvent Listeners, Executor Servicesnoyes
Triggersyes infoEventsnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACID infoconfigurableoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlSimple rights management via user accountsRole-based access controlAccess rights according to SQL-standard and operating system basedUsers and groups based on OS-security mechanisms
More information provided by the system vendor
GreptimeDBHazelcastHeroicUniData,UniVerseYottaDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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GreptimeDBHazelcastHeroicUniData,UniVerseYottaDB
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