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DBMS > GreptimeDB vs. Hazelcast vs. Stardog vs. Teradata

System Properties Comparison GreptimeDB vs. Hazelcast vs. Stardog vs. Teradata

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonHazelcast  Xexclude from comparisonStardog  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyA widely adopted in-memory data gridEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelTime Series DBMSKey-value storeGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
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
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitegreptime.comhazelcast.comwww.stardog.comwww.teradata.com
Technical documentationdocs.greptime.comhazelcast.org/­imdg/­docsdocs.stardog.comdocs.teradata.com
DeveloperGreptime Inc.HazelcastStardog-UnionTeradata
Initial release2022200820101984
Current release5.3.6, November 20237.3.0, May 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaJava
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VMLinux
macOS
Windows
hosted
Linux
Data schemeschema-free, schema definition possibleschema-freeschema-free and OWL/RDFS-schema supportyes
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.noyes infothe object must implement a serialization strategyno infoImport/export of XML data possibleyes
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesSQL-like query languageYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infoSQL 2016 + extensions
APIs and other access methodsgRPC
HTTP API
JDBC
JCache
JPA
Memcached protocol
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC++
Erlang
Go
Java
JavaScript
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresPythonyes infoEvent Listeners, Executor Servicesuser defined functions and aggregates, HTTP Server extensions in Javayes infoUDFs, stored procedures, table functions in parallel
Triggersyes infoEventsyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDACID
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.yesyesyes
User concepts infoAccess controlSimple rights management via user accountsRole-based access controlAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
GreptimeDBHazelcastStardogTeradata
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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GreptimeDBHazelcastStardogTeradata
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