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DBMS > ArcadeDB vs. HarperDB vs. IBM Db2 warehouse vs. Sequoiadb vs. Spark SQL

System Properties Comparison ArcadeDB vs. HarperDB vs. IBM Db2 warehouse vs. Sequoiadb vs. Spark SQL

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonHarperDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenUltra-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.Cloud-based data warehousing serviceNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Document storeRelational DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitearcadedb.comwww.harperdb.iowww.ibm.com/­products/­db2/­warehousewww.sequoiadb.comspark.apache.org/­sql
Technical documentationdocs.arcadedb.comdocs.harperdb.io/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperArcade DataHarperDBIBMSequoiadb Ltd.Apache Software Foundation
Initial release20212017201420132014
Current releaseSeptember 20213.1, August 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availablecommercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC++Scala
Server operating systemsAll OS with a Java VMLinux
OS X
hostedLinuxLinux
OS X
Windows
Data schemeschema-freedynamic schemayesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes infooid, date, timestamp, binary, regexyes
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 infoImport/export of XML data possiblenono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query language, no joinsSQL-like data manipulation statementsyesSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
.NET Client API
JDBC
ODBC
OLE DB
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesJava.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
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1PL/SQL, SQL PLJavaScriptno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infothe nodes on which a table resides can be definedyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardsimple password-based access controlno

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More resources
ArcadeDBHarperDBIBM Db2 warehouse infoformerly named IBM dashDBSequoiadbSpark SQL
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