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DBMS > Apache Impala vs. atoti vs. BoltDB vs. Dgraph

System Properties Comparison Apache Impala vs. atoti vs. BoltDB vs. Dgraph

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonatoti  Xexclude from comparisonBoltDB  Xexclude from comparisonDgraph  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An embedded key-value store for Go.Distributed and scalable native Graph DBMS
Primary database modelRelational DBMSObject oriented DBMSKey-value storeGraph 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
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score1.53
Rank#152  Overall
#15  Graph DBMS
Websiteimpala.apache.orgatoti.iogithub.com/­boltdb/­boltdgraph.io
Technical documentationimpala.apache.org/­impala-docs.htmldocs.atoti.iodgraph.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaActiveViamDgraph Labs, Inc.
Initial release201320132016
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree versions availableOpen Source infoMIT LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGoGo
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes
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
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsMultidimensional Expressions (MDX)nono
APIs and other access methodsJDBC
ODBC
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGoC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducePythonnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSynchronous replication via Raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
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 Kerberosnono infoPlanned for future releases

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More resources
Apache ImpalaatotiBoltDBDgraph
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