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DBMS > Apache Impala vs. ArangoDB vs. jBASE vs. Teradata Aster

System Properties Comparison Apache Impala vs. ArangoDB vs. jBASE vs. Teradata Aster

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonArangoDB  Xexclude from comparisonjBASE  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A robust multi-value DBMS comprising development tools and middlewarePlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Search engine
Multivalue DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score3.26
Rank#88  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Websiteimpala.apache.orgarangodb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationimpala.apache.org/­impala-docs.htmldocs.arangodb.comdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaArangoDB Inc.Rocket Software (formerly Zumasys)Teradata
Initial release2013201219912005
Current release4.1.0, June 20223.11.5, November 20235.7
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; Commercial license (Enterprise) availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinuxLinux
OS X
Windows
AIX
Linux
Windows
Linux
Data schemeyesschema-free infoautomatically recognizes schema within a collectionschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashoptionalyes
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.noyesyes infoin Aster File Store
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoEmbedded SQL for jBASE in BASICyes
APIs and other access methodsJDBC
ODBC
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
Basic
Jabbascript
Java
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJavaScriptyesR packages
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infosince version 2.0ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication with configurable replication factoryesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno infocan be done with stored procedures in JavaScriptnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaArangoDBjBASETeradata Aster
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
Apache ImpalaArangoDBjBASETeradata Aster
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The Weight of Relational Databases: Time for Multi-Model?
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