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DBMS > Apache Impala vs. Datomic vs. HBase vs. NSDb vs. Yaacomo

System Properties Comparison Apache Impala vs. Datomic vs. HBase vs. NSDb vs. Yaacomo

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatomic  Xexclude from comparisonHBase  Xexclude from comparisonNSDb  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAnalytic DBMS for HadoopDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityWide-column store based on Apache Hadoop and on concepts of BigTableScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSWide column storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteimpala.apache.orgwww.datomic.comhbase.apache.orgnsdb.ioyaacomo.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.datomic.comhbase.apache.org/­book.htmlnsdb.io/­Architecture
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCognitectApache Software Foundation infoApache top-level project, originally developed by PowersetQ2WEB GmbH
Initial release20132012200820172009
Current release4.1.0, June 20221.0.6735, June 20232.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoApache version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ClojureJavaJava, Scala
Server operating systemsLinuxAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
macOS
Android
Linux
Windows
Data schemeyesyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes: int, bigint, decimal, stringyes
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.nonononono
Secondary indexesyesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJava API
RESTful HTTP API
Thrift
gRPC
HTTP REST
WebSocket
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
C
C#
C++
Groovy
Java
PHP
Python
Scala
Java
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoTransaction Functionsyes infoCoprocessors in Javano
TriggersnoBy using transaction functionsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
Apache ImpalaDatomicHBaseNSDbYaacomo
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