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DBMS > 4D vs. Apache Impala vs. Atos Standard Common Repository vs. CockroachDB vs. TigerGraph

System Properties Comparison 4D vs. Apache Impala vs. Atos Standard Common Repository vs. CockroachDB vs. TigerGraph

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCockroachDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Relational DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.4d.comimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.cockroachlabs.comwww.tigergraph.com
Technical documentationdeveloper.4d.comimpala.apache.org/­impala-docs.htmlwww.cockroachlabs.com/­docsdocs.tigergraph.com
Developer4D, IncApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsCockroach Labs
Initial release19842013201620152017
Current releasev20, April 20234.1.0, June 2022170323.1.1, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoApache 2.0, commercial license availablecommercial
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 languageC++JavaGoC++
Server operating systemsOS X
Windows
LinuxLinuxLinux
macOS
Windows
Linux
Data schemeyesyesSchema and schema-less with LDAP viewsdynamic schemayes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.yesnoyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsnoyes, wire compatible with PostgreSQLSQL-like query language (GSQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
LDAPJDBCGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
All languages supporting JDBC/ODBCAll languages with LDAP bindingsC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C++
Java
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenonoyes
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infocell divisionhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFT
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factoryesMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnono
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationRole-based access controlRole-based access control

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More resources
4D infoformer name: 4th DimensionApache ImpalaAtos Standard Common RepositoryCockroachDBTigerGraph
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