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DBMS > ArcadeDB vs. Hypertable vs. IBM Db2 warehouse vs. Spark SQL

System Properties Comparison ArcadeDB vs. Hypertable vs. IBM Db2 warehouse vs. Spark SQL

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenAn open source BigTable implementation based on distributed file systems such as HadoopCloud-based data warehousing serviceSpark 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
Wide column storeRelational DBMSRelational 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
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitearcadedb.comwww.ibm.com/­products/­db2/­warehousespark.apache.org/­sql
Technical documentationdocs.arcadedb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperArcade DataHypertable Inc.IBMApache Software Foundation
Initial release2021200920142014
Current releaseSeptember 20210.9.8.11, March 20163.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Scala
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nono infoImport/export of XML data possibleno
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLSQL-like query language, no joinsnoyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
C++ API
Thrift
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesJavaC++
Java
Perl
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor on file system levelyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
ArcadeDBHypertableIBM Db2 warehouse infoformerly named IBM dashDBSpark SQL
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