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DBMS > HarperDB vs. Heroic vs. Microsoft Azure Synapse Analytics vs. Oracle Berkeley DB vs. Warp 10

System Properties Comparison HarperDB vs. Heroic vs. Microsoft Azure Synapse Analytics vs. Oracle Berkeley DB vs. Warp 10

Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Time 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 ServerWidely used in-process key-value storeTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeTime Series DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#244  Overall
#38  Document stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.harperdb.iogithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticswww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.warp10.io
Technical documentationdocs.harperdb.io/­docsspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperHarperDBSpotifyMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleSenX
Initial release20172014201619942015
Current release3.1, August 202118.1.40, May 2020
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache 2.0commercialOpen Source infocommercial license availableOpen Source infoApache License 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.
Implementation languageNode.jsJavaC++C, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemsLinux
OS X
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemedynamic schemaschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyesnoyes
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.nononoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyes infovia Elasticsearchyesyesno
SQL infoSupport of SQLSQL-like data manipulation statementsnoyesyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
Java
PHP
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1noTransact SQLnoyes infoWarpScript
Triggersnononoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingSharding, horizontal partitioningnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedyesyesSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate 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 dataAtomic execution of specific operationsnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesyesnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
HarperDBHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOracle Berkeley DBWarp 10
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