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DBMS > Apache Impala vs. DuckDB vs. Hazelcast vs. InfinityDB vs. SWC-DB

System Properties Comparison Apache Impala vs. DuckDB vs. Hazelcast vs. InfinityDB vs. SWC-DB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDuckDB  Xexclude from comparisonHazelcast  Xexclude from comparisonInfinityDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn embeddable, in-process, column-oriented SQL OLAP RDBMSA widely adopted in-memory data gridA Java embedded Key-Value Store which extends the Java Map interfaceA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSRelational DBMSKey-value storeKey-value storeWide column store
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteimpala.apache.orgduckdb.orghazelcast.comboilerbay.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationimpala.apache.org/­impala-docs.htmlduckdb.org/­docshazelcast.org/­imdg/­docsboilerbay.com/­infinitydb/­manual
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHazelcastBoiler Bay Inc.Alex Kashirin
Initial release20132018200820022020
Current release4.1.0, June 20221.0.0, June 20245.3.6, November 20234.00.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaJavaC++
Server operating systemsLinuxserver-lessAll OS with a Java VMAll OS with a Java VMLinux
Data schemeyesyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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.nonoyes infothe object must implement a serialization strategynono
Secondary indexesyesyesyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languagenoSQL-like query language
APIs and other access methodsJDBC
ODBC
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Proprietary protocol
Thrift
Supported programming languagesAll languages supporting JDBC/ODBCC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaC++
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infoEvent Listeners, Executor Servicesnono
Triggersnonoyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes infoReplicated Mapnone
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 Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynononono infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDone or two-phase-commit; repeatable reads; read commitedACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.noyesyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoRole-based access controlno

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More resources
Apache ImpalaDuckDBHazelcastInfinityDBSWC-DB infoSuper Wide Column Database
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