Apache Geode vs. Integrate.io

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

Integrate.IO or formerly XPlenty can be used for various needs:

• Multiple Sources (Excel, CSV, Text File, Blank File Type, All SQL Type)
• Multiple End Points (All SQL Type)
• Integration to Salesforce Sales Cloud
• Re-using the same package in different platforms which result to less development
• Value for the money

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

• Collecting data from different sources and making these available for BI tools or other IT systems.
• Their support department is really helpful when you are facing issues. Sometimes they refer to their documentation and sometimes they can help you right away.
• Generally I’m really happy with the ease of use. The software just does its job very well and we’re really getting a lot of value from it.

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

• It's not always easy to use.
• Debugging can be challenging when error logs lack specificity.
• Interaction between fields or packages is slow.

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

I found them super cool and helpful in any regarding to implementation.

Incentivized

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

Incentivized

Integrate.io offers more customization options than Datorama, allowing businesses to create their own custom integrations and workflows using their API and SDKs. Integrate.io's pricing model is based on the number of data transactions, which may be more cost-effective for businesses that have a high volume of data.

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

• Faster development with less skill requirements
• Part of long range planning
• Captured the data privacy requirements

Incentivized