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DBMS > Heroic vs. LevelDB vs. Microsoft Azure Synapse Analytics vs. Warp 10 vs. XTDB

System Properties Comparison Heroic vs. LevelDB vs. Microsoft Azure Synapse Analytics vs. Warp 10 vs. XTDB

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWarp 10  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelTime Series DBMSKey-value storeRelational DBMSTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.08
Rank#358  Overall
#35  Time Series DBMS
Score0.09
Rank#351  Overall
#47  Document stores
Websitegithub.com/­spotify/­heroicgithub.com/­google/­leveldbazure.microsoft.com/­services/­synapse-analyticswww.warp10.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.microsoft.com/­azure/­synapse-analyticswww.warp10.io/­content/­02_Getting_startedwww.xtdb.com/­docs
DeveloperSpotifyGoogleMicrosoftSenXJuxt Ltd.
Initial release20142011201620152019
Current release1.23, February 20211.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDcommercialOpen Source infoApache License 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++JavaClojure
Server operating systemsIllumos
Linux
OS X
Windows
hostedLinux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes, extensible-data-notation format
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.nonononono
Secondary indexesyes infovia Elasticsearchnoyesnoyes
SQL infoSupport of SQLnonoyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
HTTP API
Jupyter
WebSocket
HTTP REST
JDBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C#
Java
PHP
Clojure
Java
Server-side scripts infoStored proceduresnonoTransact SQLyes infoWarpScriptno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding, horizontal partitioningSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesselectable replication factor infobased on HBaseyes, each node contains all data
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 ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono 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 datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
HeroicLevelDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWarp 10XTDB infoformerly named Crux
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