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Whether you want to go into production for free or you’re looking for enterprise-grade distributed in-memory data management, BigMemory has a version that’s right for you.
| BigMemory MAX | BigMemory Go | |||
|---|---|---|---|---|
| Free | Full | Free | Full | |
| Distributed in-memory data store | Yes | Yes | No (standalone JVM) | No (standalone JVM) |
| In-memory capacity | 8GB per server in 1 mirrored stripe (16GB total) | Unlimited (limit based on license) | 32GB | Unlimited (limit based on license) |
| Number of BigMemory mirrored stripes supported (what's this?) | 1 | Unlimited (limit based on license) | ||
| Number of application clients supported | 4 | Unlimited (limit based on license) | N/A | N/A |
| Fast search | Yes | Yes | Yes | Yes |
| Configurable data consistency guarantees | Yes | Yes | N/A | N/A |
| Terracotta Management Console™ | Yes | Yes | Yes | Yes |
| Fast Restartable Store™ (what's this?) |
Yes | Yes | Yes | Yes |
| BigMemory-Hadoop Connector support | Yes | Yes | ||
| In-process off-heap storage | Yes | Yes | Yes | |
| Advanced security (authentication/authorization) | Yes | N/A | N/A | |
| Enterprise support | Yes | Yes | ||
| Free Download | Free Trial | Free Download | Contact Us | |
Mirrored stripe: BigMemory Max lets you create a distributed in-memory data store made up of pairs of servers, or stripes. Each stripe consists of an active server and a mirror server, which stores a copy of the active. If the active goes offline, the mirror takes over, ensuring high availability.
Fast Restartable Store™: After maintenance or other downtime, BigMemory is optimized to bring in-memory stores back online extremely quickly, without putting undue load on a central database.
FREE: Run up to 8GB of distributed in-memory management for free
FULL: Try the full version of
BigMemory Max for 30 days
For standalone servers,
with 32GB free
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With Terracotta, we are able to reduce the heap size, and get fast, local access for large amounts of data. It's much easier for us to manage, with less GC tuning and more predictable application performance.Joey Caisse, CTO of News Digital Media