Apache Geode vs. HPE Private Cloud

The biggest advantage of using Apache Geode is DB like consistency. So for applications whose data needs to be in-memory, accessible at low latencies and most importantly writes have to be consistent, should use Apache Geode. For our application quite some amount of data is static which we store in MySQL as it can be easily manipulated. But since this data is large R/w from DB becomes expensive. So we started using Redis. Redis does a brilliant job, but with complex data structures and no query like capability, we have to manage it via code. We are experimenting with Apache Geode and it looks promising as now we can query on complex data-structures and get the required data quickly and also updates consistent.

Incentivized

In our organization, we are using HPE Cloud Volumes for backups storage. HPE Cloud Volumes has given the flexibility of maximum availability and scalability. Now adding space is not a cumbersome process and it can be easily managed by HPE Cloud Volumes as per our need. In another scenario, we have used HPE Cloud Volumes for temporary storing the data for Datacenter move activity. On the downside, I think HPE Cloud Volumes solution is not suitable for temporary need as its more of a long term solution.

Incentivized

• Super Fast data pull/push
• Provided ACID transactions, so it works like a SQL Database
• Provides replication & partitioning, so our data is never lost and extraction is super fast. NoSql like properties

Incentivized

• It Really simplifying our day to day operations for engineers to maintain the backup needs, aligning our infra to actual use
• You can leverage efficient,and, we have kind of mixed needs for cloud and on-premises storage, It does exceptionally well
• It really provides a Ransomware Protection and long-term retention.
• It delivers simple diaster recovery and also its statisfy our backup needs from the edge to cloud for our genesys applications.

Incentivized

• Needs more supporting languages. Out of box Python, Nodejs adapters would be wonderful
• Currently it supports just KV Store. But if we could cache documents or timeseries data would be great
• Needs more community support, documentation.

Incentivized

• Not suitable for small scale enterprises
• Initial setup is bit difficult
• Pricing can be more flexible which can suits different customer of different needs.

Incentivized

Still Experimenting. Initial results are good. we need to figure out if we can completely replace Redis. Cost wise if it makes sense to keep both or replacement is feasible.

Incentivized

Never contacted support

Incentivized

Still Experimenting. But looks promising as it has query capabilities over complex data structures

Incentivized

HPE Cloud Volumes Backup unlocks agility and powers innovation. It really eliminate the complexity of day-to-day hassles. For our On-premises and Muticloud backup needs Based on our evaluavtion , we had to come to this decision to go for HPE

Incentivized

• Still experimenting so difficult to quote
• For a small size project/teams might be an overkill as it still has certain learning curve
• For Medium to large projects with complex Data Structures that need to be queried with a fast o/p it definitely works

Incentivized

• Backups on HPE Cloud Volumes has significantly reduced the cost of on premise handling of backups
• It provided storage for datacenter move which reduced the migration time
• Hosting smaller application in HPE Cloud Volumes has helped in saving operating cost.

Incentivized