DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Heroic vs. Microsoft Azure Synapse Analytics vs. Transwarp Hippo

System Properties Comparison Heroic vs. Microsoft Azure Synapse Analytics vs. Transwarp Hippo

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelTime Series DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#364  Overall
#39  Time Series DBMS
Score14.36
Rank#36  Overall
#22  Relational DBMS
Score0.00
Rank#382  Overall
#21  Vector DBMS
Websitegithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticswww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analytics
DeveloperSpotifyMicrosoft
Initial release201420162023
Current release1.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemshostedLinux
macOS
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and String
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.nonono
Secondary indexesyes infovia Elasticsearchyesno
SQL infoSupport of SQLnoyesno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Java
PHP
C++
Java
Python
Server-side scripts infoStored proceduresnoTransact SQLno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyesRole based access control and fine grained access rights

More information provided by the system vendor

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

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

More resources
HeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTranswarp Hippo
Recent citations in the news

How Code Wizards load tested Heroic Labs’ Nakama to two million concurrent players with AWS
1 October 2024, Amazon Web Services

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

Lavender Confectionery & Bakery halves weekly planning time with Azure Synapse Analytics and Power BI
11 April 2025, Microsoft

Azure Synapse Analytics: Transforming Data Management
12 April 2025, Simplilearn.com

Doing more with less internally at Microsoft with Microsoft Azure
23 January 2025, Microsoft

MetLife reduces automated development security operations tests and builds to under an hour with Azure DevOps
8 February 2025, Microsoft

Azure Data Engineer Interview Questions and Answers
12 April 2025, Simplilearn.com

provided by Google News

10 top vector database options for similarity searches
8 August 2024, TechTarget

provided by Google News



Share this page

Featured Products

Milvus logo

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

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

RaimaDB logo

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

Neo4j logo

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

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Present your product here