If you have an efficient implementation of that, right now it might be. We'll 
be adding full FTS functionality to cypher in a later release,
right now you can use the legacy full-text-index as you've seen in my blog post.

In terms of performance -> Neo4j uses Lucene under the hood, you can certainly 
find comparisons between Lucene's approach and implementations using Tries.

Also, what is your actual use-case if wildcard search is so critical for you?

Michael

Am 02.09.2014 um 06:09 schrieb Mukesh Khandelwal <[email protected]>:

> Is it better to use a Patricia  (Trie) data structure to store the nodes that 
> need to be 'wildcard searched' ?
> 
> How does the Neo4j match compare with storing the data in a Trie data 
> structure in terms of performance, memory, etc?
> 
> 
> 
> On Monday, September 1, 2014 1:19:00 PM UTC+5:30, Michael Hunger wrote:
> You can still use FullTextSearch with legacy indexes and neo4j 2.0, see here: 
> http://jexp.de/blog/2014/03/full-text-indexing-fts-in-neo4j-2-0/
> 
> Am 12.08.2014 um 22:42 schrieb Wes Freeman <[email protected]>:
> 
>> No. Schema/label indexes are only exact lookups yet.
>> 
>> Wes
>> 
>> On Tue, Aug 12, 2014 at 4:34 PM, Alan Robertson <[email protected]> wrote:
>> Would it speed up (via indexes) if you added 'n.name >= "Michael"'   ?
>> 
>> 
>> 
>> On 08/12/2014 01:13 PM, Wes Freeman wrote:
>>> The way you need to do this (currently) is with the regex syntax:
>>> 
>>> MATCH (n) where n.name =~ "Michael.*" RETURN n
>>> 
>>> http://docs.neo4j.org/chunked/milestone/query-where.html#_regular_expressions
>>> 
>>> Wes
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