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DBMS > Apache Impala vs. Ehcache vs. Google Cloud Spanner vs. RavenDB vs. SWC-DB

System Properties Comparison Apache Impala vs. Ehcache vs. Google Cloud Spanner vs. RavenDB vs. SWC-DB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonRavenDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA widely adopted Java cache with tiered storage optionsA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSKey-value storeRelational DBMSDocument storeWide column store
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteimpala.apache.orgwww.ehcache.orgcloud.google.com/­spannerravendb.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationimpala.apache.org/­impala-docs.htmlwww.ehcache.org/­documentationcloud.google.com/­spanner/­docsravendb.net/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaTerracotta Inc, owned by Software AGGoogleHibernating RhinosAlex Kashirin
Initial release20132009201720102020
Current release4.1.0, June 20223.10.0, March 20225.4, July 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC#C++
Server operating systemsLinuxAll OS with a Java VMhostedLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infoQuery statements complying to ANSI 2011SQL-like query language (RQL)SQL-like query language
APIs and other access methodsJDBC
ODBC
JCachegRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocol
Thrift
Supported programming languagesAll languages supporting JDBC/ODBCJavaGo
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyesno
Triggersnoyes infoCache Event Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby using Terracotta ServerMulti-source replication with 3 replicas for regional instances.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infosupports JTA and can work as an XA resourceACID infoStrict serializable isolationACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Authorization levels configured per client per database

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More resources
Apache ImpalaEhcacheGoogle Cloud SpannerRavenDBSWC-DB infoSuper Wide Column Database
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