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DBMS > Heroic vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics vs. Milvus vs. QuestDB

System Properties Comparison Heroic vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics vs. Milvus vs. QuestDB

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  Xexclude from comparisonQuestDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA multi-model DBMS and application serverElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searchesA high performance open source SQL database for time series data
Primary database modelTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSVector DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitegithub.com/­spotify/­heroicwww.intersystems.com/­products/­cacheazure.microsoft.com/­services/­synapse-analyticsmilvus.ioquestdb.io
Technical documentationspotify.github.io/­heroicdocs.intersystems.comdocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.mdquestdb.io/­docs
DeveloperSpotifyInterSystemsMicrosoftQuestDB Technology Inc
Initial release20141997201620192014
Current release2018.1.4, May 20202.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC++C++, GoJava (Zero-GC), C++, Rust
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Windows
Data schemeschema-freedepending on used data modelyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and Stringyes
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.noyesnonono
Secondary indexesyes infovia Elasticsearchyesyesnono
SQL infoSupport of SQLnoyesyesnoSQL with time-series extensions
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC#
C++
Java
C#
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoyesTransact SQLnono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding, horizontal partitioningShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users, groups and rolesyesRole based access control and fine grained access rights
More information provided by the system vendor
HeroicInterSystems CachéMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusQuestDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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