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DBMS > Apache Impala vs. HugeGraph vs. OrigoDB vs. Teradata Aster

System Properties Comparison Apache Impala vs. HugeGraph vs. OrigoDB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHugeGraph  Xexclude from comparisonOrigoDB  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 HadoopA fast-speed and highly-scalable Graph DBMSA fully ACID in-memory object graph databasePlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSGraph DBMSDocument store
Object oriented DBMS
Relational 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
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Websiteimpala.apache.orggithub.com/­hugegraph
hugegraph.apache.org
origodb.com
Technical documentationimpala.apache.org/­impala-docs.htmlhugegraph.apache.org/­docsorigodb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBaiduRobert Friberg et alTeradata
Initial release201320182009 infounder the name LiveDB2005
Current release4.1.0, June 20220.9
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC#
Server operating systemsLinuxLinux
macOS
Unix
Linux
Windows
Linux
Data schemeyesyesyesFlexible 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 dateyesyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETyes infoin Aster File Store
Secondary indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBCGroovy
Java
Python
.NetC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsyesR packages
Triggersnonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationyes 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 MapReducevia hugegraph-sparknoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoedges in graphdepending on modelno
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 persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers, roles and permissionsRole based authorizationfine grained access rights according to SQL-standard

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More resources
Apache ImpalaHugeGraphOrigoDBTeradata Aster
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