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DBMS > Ignite vs. InfinityDB vs. LeanXcale vs. Microsoft Azure Table Storage vs. TigerGraph

System Properties Comparison Ignite vs. InfinityDB vs. LeanXcale vs. Microsoft Azure Table Storage vs. TigerGraph

Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonInfinityDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A Java embedded Key-Value Store which extends the Java Map interfaceA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA Wide Column Store for rapid development using massive semi-structured datasetsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value store
Relational DBMS
Key-value storeKey-value store
Relational DBMS
Wide column storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteignite.apache.orgboilerbay.comwww.leanxcale.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.tigergraph.com
Technical documentationapacheignite.readme.io/­docsboilerbay.com/­infinitydb/­manualdocs.tigergraph.com
DeveloperApache Software FoundationBoiler Bay Inc.LeanXcaleMicrosoft
Initial release20152002201520122017
Current releaseApache Ignite 2.64.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetJavaC++
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMhostedLinux
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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.yesnonono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyes infothrough Apache DerbynoSQL-like query language (GSQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaC
Java
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonoyes
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsnoAccess rights based on private key authentication or shared access signaturesRole-based access control

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More resources
IgniteInfinityDBLeanXcaleMicrosoft Azure Table StorageTigerGraph
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