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DBMS > Cachelot.io vs. Heroic vs. Hyprcubd vs. Neo4j vs. TDengine

System Properties Comparison Cachelot.io vs. Heroic vs. Hyprcubd vs. Neo4j vs. TDengine

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonHeroic  Xexclude from comparisonHyprcubd  Xexclude from comparisonNeo4j  Xexclude from comparisonTDengine  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionIn-memory caching systemTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchServerless Time Series DBMSScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsTime Series DBMS and big data platform
Primary database modelKey-value storeTime Series DBMSTime Series DBMSGraph DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score2.48
Rank#107  Overall
#9  Time Series DBMS
Websitecachelot.iogithub.com/­spotify/­heroichyprcubd.com (offline)neo4j.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationspotify.github.io/­heroicneo4j.com/­docsdocs.tdengine.com
DeveloperSpotifyHyprcubd, Inc.Neo4j, Inc.TDEngine, previously Taos Data
Initial release2015201420072019
Current release5.23, August 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoApache 2.0commercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC++JavaGoJava, ScalaC
Server operating systemsFreeBSD
Linux
OS X
hostedLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or datenoyesyes infotime, int, uint, float, stringyesyes
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.nononono
Secondary indexesnoyes infovia Elasticsearchnoyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLnonoSQL-like query languagenoStandard SQL with extensions for time-series applications
APIs and other access methodsMemcached protocolHQL (Heroic Query Language, a JSON-based language)
HTTP API
gRPC (https)Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
JDBC
RESTful HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnononoyes infoUser defined Procedures and Functionsno
Triggersnononoyes infovia event handleryes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes using Neo4j FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Eventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynononoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentnoyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnotoken accessUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes
More information provided by the system vendor
Cachelot.ioHeroicHyprcubdNeo4jTDengine
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
TDengine™ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
High Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
TDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
TDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
TDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more
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