Category: In-Memory Databases-Articles, Papers, Presentations

SQLScript: Efficiently Analyzing Big Enterprise Data in SAP HANA

SQLScript: Efficiently Analyzing Big Enterprise Data in SAP HANA Carsten Binnig, DHBW Mannheim Norman May, SAP AG Walldorf Tobias Mindnich, SAP AG Walldorf Abstract: Today, not only Internet companies such as Google, Facebook or...

Database Persistence, Without The Performance Penalty

Database Persistence, Without The Performance Penalty Benchmarking McObject’s In-Memory Database System With AgigA Tech’s Non-Volatile DIMM Technology McObject Copyright 2014, McObject LLC  In the past decade, in-memory database systems (IMDSs) have emerged as...

DataStax Enterprise 4.0 In-Memory Option A look at performance, use cases, and anti-patterns

DataStax Enterprise 4.0 In-Memory Option A look at performance, use cases, and anti-patterns White Paper  Abstract DataStax Enterprise 4.0 introduces a new in-memory option that brings the power and flexibility of Cassandra to...

VOLTDB IN-MEMORY DATABASE ACHIEVES BEST-IN-CLASS RESULTS, RUNNING IN THE CLOUD, ON THE YCSB BENCHMARK

VOLTDB IN-MEMORY DATABASE ACHIEVES BEST-IN-CLASS RESULTS, RUNNING IN THE CLOUD, ON THE YCSB BENCHMARK written by Alex Rogers, VoltDB on May 7, 2014 The development team at VoltDB recently ran VoltDB v4.2 against the Yahoo Cloud...

Impact of Java Garbage Collection on in-memory databases

IMPACT OF JAVA GARBAGE COLLECTION ON IN-MEMORY DATABASES written by Ariel Weisberg, VoltDB on May 2, 2014 Some users of Java, and specifically Java as it is used in in-memory database technology, worry Java’s ‘Garbage Collection’...