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DBMS > ArcadeDB vs. BigchainDB vs. HarperDB vs. Microsoft Azure Synapse Analytics vs. Vitess

System Properties Comparison ArcadeDB vs. BigchainDB vs. HarperDB vs. Microsoft Azure Synapse Analytics vs. Vitess

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsUltra-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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score0.60
Rank#244  Overall
#38  Document stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitearcadedb.comwww.bigchaindb.comwww.harperdb.ioazure.microsoft.com/­services/­synapse-analyticsvitess.io
Technical documentationdocs.arcadedb.combigchaindb.readthedocs.io/­en/­latestdocs.harperdb.io/­docsdocs.microsoft.com/­azure/­synapse-analyticsvitess.io/­docs
DeveloperArcade DataHarperDBMicrosoftThe Linux Foundation, PlanetScale
Initial release20212016201720162013
Current releaseSeptember 20213.1, August 202115.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3commercial infofree community edition availablecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonNode.jsC++Go
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
hostedDocker
Linux
macOS
Data schemeschema-freeschema-freedynamic schemayesyes
Typing infopredefined data types such as float or dateyesnoyes infoJSON data typesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language, no joinsnoSQL-like data manipulation statementsyesyes infowith proprietary extensions
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
CLI Client
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJavaGo
Haskell
Java
JavaScript
Python
Ruby
.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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1Transact SQLyes infoproprietary syntax
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes infothe nodes on which a table resides can be definedyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyes inforelationship in graphsnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesAccess rights for users and rolesyesUsers with fine-grained authorization concept infono user groups or roles

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More resources
ArcadeDBBigchainDBHarperDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseVitess
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