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DBMS > BigObject vs. chDB vs. Citus vs. Sqrrl vs. Transwarp Hippo

System Properties Comparison BigObject vs. chDB vs. Citus vs. Sqrrl vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonchDB  Xexclude from comparisonCitus  Xexclude from comparisonSqrrl  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for real-time computations and queriesAn embedded SQL OLAP Engine powered by ClickHouseScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAdaptable, secure NoSQL built on Apache AccumuloCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Vector DBMS
Secondary database modelsTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.07
Rank#376  Overall
#158  Relational DBMS
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.05
Rank#386  Overall
#15  Vector DBMS
Websitebigobject.iogithub.com/­chdb-io/­chdbwww.citusdata.comsqrrl.comwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.bigobject.iodoc.chdb.iodocs.citusdata.com
DeveloperBigObject, Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release20152023201020122023
Current release8.1, December 20181.0, May 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2.0Open Source infoAGPL, commercial license also availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
server-lessLinuxLinuxLinux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and String
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.noyes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsClose to ANSI SQL (SQL/JSON + extensions)yes infostandard, with numerous extensionsnono
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
RESTful HTTP API
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
Python
Server-side scripts infoStored proceduresLuauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Role based access control and fine grained access rights

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More resources
BigObjectchDBCitusSqrrlTranswarp Hippo
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